example_id int64 0 10k | metadata stringlengths 679 723 | classification_prompt stringlengths 4.23k 10.2k | classification_completion stringclasses 14
values | classification_text stringlengths 4.24k 10.2k | improved_signature stringlengths 2.11k 4.25k | improved_model_weights stringlengths 1.76k 5.04k | training_metrics stringlengths 1.46k 2.92k |
|---|---|---|---|---|---|---|---|
200 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3673, "learning_rate": 0.09982321313561107, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.276935,
-0.415104,
-0.11288,
-0.470826,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.276935,
-0.415104,
-0.11288,
-0.470826,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.436392307281494, "std": 1.7036501169204712}, "1": {"mean": -3.5901479721069336, "std": 2.2545416355133057}, "2": {"mean": -0.7262334227561951, "std": 2.3011634349823}, "3": {"mean": 2.0831308364868164, "std": 2.2572765350341797}, "4": {"mean": 0.9371377... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.276935, -0.415104, -0.11288, -0.470826, -0.071819], [-0.134748, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6999837458133698, "train_acc": 0.435, "val_loss": 0.7106387615203857, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6751907467842102, "train_acc": 0.58, "val_loss": 0.6676196455955505, "va... |
201 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6829, "learning_rate": 0.022168260... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.663231,
0.516402,
0.233919,
-0.290721,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.663231,
0.516402,
0.233919,
-0.290721,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.6972534656524658, "std": 2.1080620288848877}, "1": {"mean": 0.33195212483406067, "std": 1.076415777206421}, "2": {"mean": 1.942417025566101, "std": 1.7830963134765625}, "3": {"mean": 1.276893973350525, "std": 1.0860391855239868}, "4": {"mean": 0.37334915... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.663231, 0.516402, 0.233919, -0.290721, 0.026286], [-0.052808, 0.41... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6857546269893646, "train_acc": 0.57, "val_loss": 0.6879743337631226, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6700259149074554, "train_acc": 0.57, "val_loss": 0.664532482624054, "val_... |
202 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7635, "learning_rate": 0.058065... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.770968,
-0.829872,
-0.16759,
-0.103776,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.770968,
-0.829872,
-0.16759,
-0.103776,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.630742311477661, "std": 2.6731696128845215}, "1": {"mean": 3.4298837184906006, "std": 2.9186010360717773}, "2": {"mean": 3.8152058124542236, "std": 4.2214202880859375}, "3": {"mean": 0.2177771031856537, "std": 1.300334095954895}, "4": {"mean": 2.7087643... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.770968, -0.829872, -0.16759, -0.103776, 0.285706], [0.946351, 0.7... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6820095777511597, "train_acc": 0.56, "val_loss": 0.6814537048339844, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6682409942150116, "train_acc": 0.56, "val_loss": 0.6363789439201355, "val... |
203 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.46, "improved_accuracy": 0.76, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3171, "learning_rate": 0.08952299445614498, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.586765,
0.482973,
0.007898,
-0.541804,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.586765,
0.482973,
0.007898,
-0.541804,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.4935062527656555, "std": 1.984474539756775}, "1": {"mean": -0.42896872758865356, "std": 1.673472285270691}, "2": {"mean": -0.4220579266548157, "std": 1.8213756084442139}, "3": {"mean": -0.3060968518257141, "std": 2.973175525665283}, "4": {"mean": -3.3976... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.586765, 0.482973, 0.007898, -0.541804, -0.301682], [-0.867936, 0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6877881586551666, "train_acc": 0.58, "val_loss": 0.7047048211097717, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6770177483558655, "train_acc": 0.585, "val_loss": 0.6643072366714478, "va... |
204 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8409, "learning_rate": 0.08606864833972301, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.491966,
0.003287,
0.309762,
0.095339,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.491966,
0.003287,
0.309762,
0.095339,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5680913925170898, "std": 1.0263645648956299}, "1": {"mean": 3.3565642833709717, "std": 2.0666701793670654}, "2": {"mean": 0.9836041927337646, "std": 2.1883575916290283}, "3": {"mean": 0.7075149416923523, "std": 1.9920772314071655}, "4": {"mean": 1.592452... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.491966, 0.003287, 0.309762, 0.095339, 0.078776], [-0.482602, 0.29... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6940973997116089, "train_acc": 0.58, "val_loss": 0.7061028480529785, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6679708361625671, "train_acc": 0.58, "val_loss": 0.6439471244812012, "val... |
205 | {"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3148, "learning_rate": 0.024068512856563737, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.569744,
-0.194955,
0.103124,
0.168981,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.569744,
-0.194955,
0.103124,
0.168981,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.0320880189538002, "std": 1.4403272867202759}, "1": {"mean": 0.4600873291492462, "std": 1.2884228229522705}, "2": {"mean": -2.029054880142212, "std": 1.622144103050232}, "3": {"mean": 0.5655330419540405, "std": 1.2931556701660156}, "4": {"mean": 0.229538... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.569744, -0.194955, 0.103124, 0.168981, 0.40462], [-0.385144, 0.32... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876731216907501, "train_acc": 0.54, "val_loss": 0.6616448760032654, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6596110165119171, "train_acc": 0.54, "val_loss": 0.6298470497131348, "val... |
206 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.82, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9257, "learning_rate": 0.083908... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.762453,
-0.212668,
0.078808,
-0.363728,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.762453,
-0.212668,
0.078808,
-0.363728,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.599329948425293, "std": 2.765282392501831}, "1": {"mean": 1.9768637418746948, "std": 2.655935525894165}, "2": {"mean": -1.4212607145309448, "std": 0.9215138554573059}, "3": {"mean": -0.628889262676239, "std": 1.6449663639068604}, "4": {"mean": -0.4865911... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.762453, -0.212668, 0.078808, -0.363728, 1.043808], [0.84751, -0.32... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6953845024108887, "train_acc": 0.485, "val_loss": 0.7031345963478088, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6705620288848877, "train_acc": 0.575, "val_loss": 0.6879544854164124, "va... |
207 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3353, "learning_rate": 0.037326696... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.18419,
-0.429648,
-0.186895,
0.117837,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.18419,
-0.429648,
-0.186895,
0.117837,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.25801801681518555, "std": 1.3194756507873535}, "1": {"mean": -1.3655617237091064, "std": 2.368084669113159}, "2": {"mean": 1.0096263885498047, "std": 1.9997799396514893}, "3": {"mean": 1.9386645555496216, "std": 1.8145008087158203}, "4": {"mean": 2.0408... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.18419, -0.429648, -0.186895, 0.117837, 0.442777], [-1.127908, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6884653568267822, "train_acc": 0.565, "val_loss": 0.693467915058136, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6796022653579712, "train_acc": 0.565, "val_loss": 0.690291166305542, "val... |
208 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4033, "learning_rate": 0.03611... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.016389,
0.245297,
-0.493076,
-0.249076,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.016389,
0.245297,
-0.493076,
-0.249076,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.1512813568115234, "std": 0.9909156560897827}, "1": {"mean": 4.830894470214844, "std": 3.552788257598877}, "2": {"mean": 2.0959503650665283, "std": 2.09690523147583}, "3": {"mean": 1.7038309574127197, "std": 2.155705451965332}, "4": {"mean": -1.231547474... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.016389, 0.245297, -0.493076, -0.249076, 0.16223], [1.113942, 0.69... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7424656748771667, "train_acc": 0.435, "val_loss": 0.7095987200737, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7164811789989471, "train_acc": 0.435, "val_loss": 0.6994023323059082, "val_... |
209 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2465, "learning_rate": 0.02004110510274515, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.13461,
0.004037,
0.490879,
0.211172,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.13461,
0.004037,
0.490879,
0.211172,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.3920601010322571, "std": 1.637662410736084}, "1": {"mean": 1.9149727821350098, "std": 1.9352928400039673}, "2": {"mean": -0.08771293610334396, "std": 1.1727440357208252}, "3": {"mean": -2.3176066875457764, "std": 1.8461313247680664}, "4": {"mean": -0.396... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.13461, 0.004037, 0.490879, 0.211172, -0.825531], [0.192742, 0.221... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6757409274578094, "train_acc": 0.59, "val_loss": 0.6983697414398193, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6701407730579376, "train_acc": 0.59, "val_loss": 0.6810341477394104, "val... |
210 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.028374230995377545, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.413491,
0.138215,
-0.014266,
0.077898,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.413491,
0.138215,
-0.014266,
0.077898,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5968427062034607, "std": 1.0597025156021118}, "1": {"mean": -2.8832011222839355, "std": 1.9729840755462646}, "2": {"mean": 0.8567748069763184, "std": 2.1318624019622803}, "3": {"mean": -2.227656126022339, "std": 1.3718194961547852}, "4": {"mean": 0.16499... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.413491, 0.138215, -0.014266, 0.077898, 0.429773], [-0.295713, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6793150305747986, "train_acc": 0.59, "val_loss": 0.7096326351165771, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6795063614845276, "train_acc": 0.59, "val_loss": 0.7099906802177429, "val... |
211 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8277, "learning_rate": 0.024376554321... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.716887,
0.195581,
0.037646,
0.071451,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.716887,
0.195581,
0.037646,
0.071451,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.42767053842544556, "std": 1.9399100542068481}, "1": {"mean": 1.41476571559906, "std": 1.9641903638839722}, "2": {"mean": -2.371852397918701, "std": 1.4299310445785522}, "3": {"mean": 0.43526408076286316, "std": 0.9235439896583557}, "4": {"mean": 0.699704... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.716887, 0.195581, 0.037646, 0.071451, -0.741066], [0.874653, -0.36... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6757055222988129, "train_acc": 0.585, "val_loss": 0.7043598890304565, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6735892593860626, "train_acc": 0.585, "val_loss": 0.7005941867828369, "va... |
212 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.36, "improved_accuracy": 0.96, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8682, "learning_rate": 0.06610596912797752, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.485223,
-0.185385,
0.216648,
-0.1483,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.485223,
-0.185385,
0.216648,
-0.1483,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.014950099401175976, "std": 1.352225661277771}, "1": {"mean": 0.18300361931324005, "std": 2.1845507621765137}, "2": {"mean": -1.6660999059677124, "std": 1.298649787902832}, "3": {"mean": 2.3667428493499756, "std": 3.0374085903167725}, "4": {"mean": 2.3270... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.485223, -0.185385, 0.216648, -0.1483, 0.474824], [-0.841369, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809548735618591, "train_acc": 0.61, "val_loss": 0.7673699855804443, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5799949467182159, "train_acc": 0.61, "val_loss": 0.6340866684913635, "val... |
213 | {"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9534, "learning_rate": 0.0300167641... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.616637,
0.338575,
-0.644941,
0.033329,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.616637,
0.338575,
-0.644941,
0.033329,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.1795870065689087, "std": 1.6540433168411255}, "1": {"mean": -0.2836993634700775, "std": 1.6535885334014893}, "2": {"mean": -0.40710562467575073, "std": 1.343842625617981}, "3": {"mean": 0.6634374856948853, "std": 1.2364592552185059}, "4": {"mean": 1.6409... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.616637, 0.338575, -0.644941, 0.033329, -0.024229], [0.488748, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7260640263557434, "train_acc": 0.445, "val_loss": 0.7248378992080688, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6561794281005859, "train_acc": 0.585, "val_loss": 0.7946332693099976, "v... |
214 | {"target_pattern": "has_majority", "degraded_accuracy": 0.62, "improved_accuracy": 0.86, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6583, "learning_rate": 0.031235498013335028, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.20189,
0.273166,
0.129366,
-0.547878,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.20189,
0.273166,
0.129366,
-0.547878,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.5736347436904907, "std": 1.1157561540603638}, "1": {"mean": -1.1393272876739502, "std": 1.4048067331314087}, "2": {"mean": -0.9841318130493164, "std": 1.2163376808166504}, "3": {"mean": 0.03420348837971687, "std": 1.3343626260757446}, "4": {"mean": -0.5... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.20189, 0.273166, 0.129366, -0.547878, 0.23928], [0.125383, 0.2395... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828340590000153, "train_acc": 0.58, "val_loss": 0.7160999774932861, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6775194108486176, "train_acc": 0.58, "val_loss": 0.7222297787666321, "val... |
215 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.4, "improved_accuracy": 0.88, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8806, "learning_rate": 0.08105177280787854, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.663748,
-0.03697,
0.653404,
0.242462,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.663748,
-0.03697,
0.653404,
0.242462,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0975966453552246, "std": 1.7826038599014282}, "1": {"mean": 2.1306777000427246, "std": 2.8764185905456543}, "2": {"mean": 0.7708579897880554, "std": 2.157449960708618}, "3": {"mean": 0.4586239159107208, "std": 1.737781047821045}, "4": {"mean": 0.63582330... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.663748, -0.03697, 0.653404, 0.242462, 0.328487], [1.008976, 0.726... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7025249600410461, "train_acc": 0.46, "val_loss": 0.8066275119781494, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6763294637203217, "train_acc": 0.59, "val_loss": 0.712184727191925, "val_a... |
216 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.9, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9604, "learning_rate": 0.05612756743390501, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.018603,
-0.140592,
-0.117567,
-0.120383,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.018603,
-0.140592,
-0.117567,
-0.120383,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.467742919921875, "std": 0.9146928191184998}, "1": {"mean": -0.39191052317619324, "std": 1.5079034566879272}, "2": {"mean": -1.6632659435272217, "std": 1.246576189994812}, "3": {"mean": 1.801414966583252, "std": 1.5364227294921875}, "4": {"mean": 0.44856... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.018603, -0.140592, -0.117567, -0.120383, -0.376608], [-0.545759, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6848258972167969, "train_acc": 0.6, "val_loss": 0.7600312829017639, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6652560234069824, "train_acc": 0.6, "val_loss": 0.7758024334907532, "val_a... |
217 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3646, "learning_rate": 0.022885859678789006, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.458078,
0.222422,
-0.28059,
0.285488,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.458078,
0.222422,
-0.28059,
0.285488,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.061899185180664, "std": 1.2786428928375244}, "1": {"mean": 1.6534374952316284, "std": 1.2266134023666382}, "2": {"mean": 2.346670627593994, "std": 1.821042776107788}, "3": {"mean": -0.9213014245033264, "std": 1.6917179822921753}, "4": {"mean": -1.9254697... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.458078, 0.222422, -0.28059, 0.285488, -0.174303], [0.28359, 0.2718... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7142095863819122, "train_acc": 0.445, "val_loss": 0.7077823877334595, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7018163800239563, "train_acc": 0.445, "val_loss": 0.6953393816947937, "v... |
218 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6295, "learning_rate": 0.0368... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.064759,
-0.266299,
-0.086767,
-0.189602... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.064759,
-0.266299,
-0.086767,
-0.189602... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.3439510464668274, "std": 1.1068216562271118}, "1": {"mean": -0.8994362950325012, "std": 1.0503441095352173}, "2": {"mean": -0.2287244349718094, "std": 0.8869559168815613}, "3": {"mean": -2.472872734069824, "std": 1.5106561183929443}, "4": {"mean": 1.201... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.064759, -0.266299, -0.086767, -0.189602, 0.476038], [0.266794, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6930536925792694, "train_acc": 0.57, "val_loss": 0.6957569718360901, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6744201183319092, "train_acc": 0.57, "val_loss": 0.6786289215087891, "val_... |
219 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8183, "learning_rate": 0.04597520331840239, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.889758,
0.734757,
-0.147214,
0.340919,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.889758,
0.734757,
-0.147214,
0.340919,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.0864579677581787, "std": 2.6917660236358643}, "1": {"mean": 0.876080334186554, "std": 1.824474811553955}, "2": {"mean": -3.340441942214966, "std": 2.103971242904663}, "3": {"mean": 0.2094116359949112, "std": 1.0916831493377686}, "4": {"mean": -3.12658762... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.889758, 0.734757, -0.147214, 0.340919, -0.326225], [0.219574, 0.57... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853464245796204, "train_acc": 0.575, "val_loss": 0.7108901739120483, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6759308874607086, "train_acc": 0.575, "val_loss": 0.6912347674369812, "v... |
220 | {"target_pattern": "has_majority", "degraded_accuracy": 0.64, "improved_accuracy": 0.8, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1219, "learning_rate": 0.0533292826... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.153931,
0.580496,
-0.501124,
-0.896582,... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.153931,
0.580496,
-0.501124,
-0.896582,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.4156997203826904, "std": 1.8938182592391968}, "1": {"mean": 1.7871811389923096, "std": 1.5187307596206665}, "2": {"mean": 1.7595727443695068, "std": 1.665645956993103}, "3": {"mean": -2.3310024738311768, "std": 1.8567252159118652}, "4": {"mean": 0.36067... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.153931, 0.580496, -0.501124, -0.896582, 0.238912], [-0.209708, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6745684444904327, "train_acc": 0.59, "val_loss": 0.6570971608161926, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6700204014778137, "train_acc": 0.6, "val_loss": 0.6779168844223022, "val_a... |
221 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6195, "learning_rate": 0.07327... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.170593,
-0.558218,
-0.390603,
0.257603,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.170593,
-0.558218,
-0.390603,
0.257603,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.1686316877603531, "std": 1.5694130659103394}, "1": {"mean": 1.856454610824585, "std": 1.7141292095184326}, "2": {"mean": 1.2529504299163818, "std": 1.574676752090454}, "3": {"mean": -2.2397117614746094, "std": 2.0511839389801025}, "4": {"mean": 2.082983... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.170593, -0.558218, -0.390603, 0.257603, 0.51391], [-0.446137, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7091429829597473, "train_acc": 0.45, "val_loss": 0.6828758120536804, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6799121499061584, "train_acc": 0.57, "val_loss": 0.5915994048118591, "val... |
222 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3023, "learning_rate": 0.09781995364... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.640185,
-0.432325,
-0.243167,
0.015964,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.640185,
-0.432325,
-0.243167,
0.015964,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.6548872590065002, "std": 1.270202398300171}, "1": {"mean": 1.317068338394165, "std": 3.852295398712158}, "2": {"mean": -0.18747550249099731, "std": 3.286184549331665}, "3": {"mean": -1.4624006748199463, "std": 0.9763951301574707}, "4": {"mean": -0.65860... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.640185, -0.432325, -0.243167, 0.015964, -0.010848], [1.626548, 0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910825371742249, "train_acc": 0.51, "val_loss": 0.6875702738761902, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6448884308338165, "train_acc": 0.57, "val_loss": 0.5929508209228516, "val... |
223 | {"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3923, "learning_rate": 0.0575589940374877, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.539042,
-0.041173,
-0.218447,
-0.236958... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.539042,
-0.041173,
-0.218447,
-0.236958... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.597434639930725, "std": 1.3595980405807495}, "1": {"mean": -2.4674758911132812, "std": 1.546625018119812}, "2": {"mean": 1.4538880586624146, "std": 1.5510497093200684}, "3": {"mean": -0.3890809714794159, "std": 1.038223147392273}, "4": {"mean": 0.057728... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.539042, -0.041173, -0.218447, -0.236958, 0.256972], [0.001707, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7243840992450714, "train_acc": 0.435, "val_loss": 0.6935688853263855, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818749010562897, "train_acc": 0.535, "val_loss": 0.6840384602546692, "v... |
224 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4496, "learning_rate": 0.021019725897398877, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.780648,
0.150401,
0.309932,
-0.002374,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.780648,
0.150401,
0.309932,
-0.002374,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.7069352865219116, "std": 1.9621193408966064}, "1": {"mean": 1.5417709350585938, "std": 1.8563551902770996}, "2": {"mean": 1.9116352796554565, "std": 1.907380223274231}, "3": {"mean": -1.9423450231552124, "std": 1.172008991241455}, "4": {"mean": -2.169653... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.780648, 0.150401, 0.309932, -0.002374, -0.400007], [0.03402, 0.858... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6964113116264343, "train_acc": 0.455, "val_loss": 0.6967228651046753, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6710128784179688, "train_acc": 0.585, "val_loss": 0.7193359136581421, "v... |
225 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.66, "improved_accuracy": 0.94, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2016, "learning_rate": 0.0683653540... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.587158,
-0.195823,
0.740807,
-0.196615,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.587158,
-0.195823,
0.740807,
-0.196615,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4472776651382446, "std": 2.112372398376465}, "1": {"mean": 1.5459061861038208, "std": 1.9082432985305786}, "2": {"mean": -1.2211154699325562, "std": 1.1952375173568726}, "3": {"mean": -2.0006563663482666, "std": 2.48091983795166}, "4": {"mean": -1.603350... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.587158, -0.195823, 0.740807, -0.196615, -0.01513], [0.409363, 0.72... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920357644557953, "train_acc": 0.555, "val_loss": 0.6967262029647827, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6866733431816101, "train_acc": 0.555, "val_loss": 0.6941977739334106, "v... |
226 | {"target_pattern": "has_majority", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1018, "learning_rate": 0.046300564... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.134622,
0.289264,
0.559803,
0.377863,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.134622,
0.289264,
0.559803,
0.377863,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.635364294052124, "std": 1.639742374420166}, "1": {"mean": -2.214387893676758, "std": 2.440553665161133}, "2": {"mean": 0.8938379883766174, "std": 1.0438923835754395}, "3": {"mean": 1.4489389657974243, "std": 1.2637370824813843}, "4": {"mean": -3.33533358... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.134622, 0.289264, 0.559803, 0.377863, 0.145883], [-0.39448, 0.645... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7139370143413544, "train_acc": 0.44, "val_loss": 0.6876661777496338, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6857124865055084, "train_acc": 0.59, "val_loss": 0.6595556139945984, "val... |
227 | {"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.74, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1261, "learning_rate": 0.0202873999... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.06681,
0.253961,
0.139655,
0.102036,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.06681,
0.253961,
0.139655,
0.102036,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5433890223503113, "std": 0.9300147294998169}, "1": {"mean": 1.9990346431732178, "std": 2.1973490715026855}, "2": {"mean": 0.7996158003807068, "std": 0.747570276260376}, "3": {"mean": 1.8836275339126587, "std": 1.9050945043563843}, "4": {"mean": 1.0146045... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.06681, 0.253961, 0.139655, 0.102036, -0.375519], [0.862973, 0.4156... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7079374194145203, "train_acc": 0.44, "val_loss": 0.7004430294036865, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6961131393909454, "train_acc": 0.44, "val_loss": 0.6872899532318115, "val... |
228 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.88, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2867, "learning_rate": 0.05670972617... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.430072,
0.361261,
0.356685,
-0.474067,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.430072,
0.361261,
0.356685,
-0.474067,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.0009695291519165, "std": 1.8297230005264282}, "1": {"mean": 0.7467292547225952, "std": 1.4438191652297974}, "2": {"mean": -1.0894317626953125, "std": 2.8791487216949463}, "3": {"mean": 1.2426997423171997, "std": 1.2724674940109253}, "4": {"mean": -0.836... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.430072, 0.361261, 0.356685, -0.474067, -0.641771], [0.194249, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6889231204986572, "train_acc": 0.57, "val_loss": 0.672431230545044, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6619022190570831, "train_acc": 0.565, "val_loss": 0.6018905639648438, "val... |
229 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.74, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4918, "learning_rate": 0.091703869689... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.127227,
-0.571551,
-0.314707,
-0.006754... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.127227,
-0.571551,
-0.314707,
-0.006754... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.0682621002197266, "std": 1.5164271593093872}, "1": {"mean": 0.015014510601758957, "std": 1.7067941427230835}, "2": {"mean": 0.6939859986305237, "std": 1.6266858577728271}, "3": {"mean": -0.016629619523882866, "std": 0.9726964235305786}, "4": {"mean": 0.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.127227, -0.571551, -0.314707, -0.006754, -0.145962], [-0.18247, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6834434568881989, "train_acc": 0.57, "val_loss": 0.6946991086006165, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6414547562599182, "train_acc": 0.57, "val_loss": 0.5975951552391052, "val... |
230 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9684, "learning_rate": 0.059755... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.411538,
-1.284801,
-0.279551,
0.316303,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.411538,
-1.284801,
-0.279551,
0.316303,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.6637880206108093, "std": 2.3184213638305664}, "1": {"mean": -1.4960161447525024, "std": 3.334012031555176}, "2": {"mean": 3.8869972229003906, "std": 3.134298324584961}, "3": {"mean": 4.256518363952637, "std": 3.252427101135254}, "4": {"mean": -1.0270881... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.411538, -1.284801, -0.279551, 0.316303, 0.292071], [-0.964947, -1.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7428964674472809, "train_acc": 0.435, "val_loss": 0.7092404365539551, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7061517536640167, "train_acc": 0.435, "val_loss": 0.6958431005477905, "v... |
231 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.94, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7957, "learning_rate": 0.035332... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.849217,
0.352969,
0.329481,
0.111724,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.849217,
0.352969,
0.329481,
0.111724,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.336110830307007, "std": 2.306556463241577}, "1": {"mean": 1.1163076162338257, "std": 1.8181449174880981}, "2": {"mean": 1.2241439819335938, "std": 2.1685755252838135}, "3": {"mean": 1.1916050910949707, "std": 1.9675740003585815}, "4": {"mean": 1.49087977... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.849217, 0.352969, 0.329481, 0.111724, -0.292143], [0.553622, 0.040... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.70905601978302, "train_acc": 0.445, "val_loss": 0.6937954425811768, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.682801216840744, "train_acc": 0.555, "val_loss": 0.6601879596710205, "val_... |
232 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.78, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8310, "learning_rate": 0.07285... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.600712,
-0.034682,
0.042416,
-0.322852,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.600712,
-0.034682,
0.042416,
-0.322852,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4620224237442017, "std": 2.0738837718963623}, "1": {"mean": -2.8715970516204834, "std": 1.8387136459350586}, "2": {"mean": 2.349888324737549, "std": 1.6224558353424072}, "3": {"mean": 0.9180095195770264, "std": 1.4321088790893555}, "4": {"mean": 1.204161... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.600712, -0.034682, 0.042416, -0.322852, 0.739585], [-0.416702, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.693968802690506, "train_acc": 0.465, "val_loss": 0.6563220024108887, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6415435075759888, "train_acc": 0.555, "val_loss": 0.5690800547599792, "va... |
233 | {"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.68, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7386, "learning_rate": 0.0775998833... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.558453,
-0.388631,
0.291556,
0.498369,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.558453,
-0.388631,
0.291556,
0.498369,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5810636878013611, "std": 3.822434186935425}, "1": {"mean": -1.0432590246200562, "std": 1.5051381587982178}, "2": {"mean": -0.8664489984512329, "std": 2.826690912246704}, "3": {"mean": 1.1134966611862183, "std": 2.832970142364502}, "4": {"mean": 1.8473913... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.558453, -0.388631, 0.291556, 0.498369, 1.05753], [0.452883, -0.17... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.683991014957428, "train_acc": 0.55, "val_loss": 0.6924707293510437, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6468860507011414, "train_acc": 0.55, "val_loss": 0.5507559180259705, "val_a... |
234 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.76, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9467, "learning_rate": 0.05611... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.041514,
-0.021692,
-0.054391,
-0.113818... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.041514,
-0.021692,
-0.054391,
-0.113818... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.756008505821228, "std": 0.9731907248497009}, "1": {"mean": 1.4293378591537476, "std": 2.1478629112243652}, "2": {"mean": -2.4590773582458496, "std": 1.7512332201004028}, "3": {"mean": 1.1252325773239136, "std": 1.8878083229064941}, "4": {"mean": 1.842150... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.041514, -0.021692, -0.054391, -0.113818, 0.543112], [-0.222274, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6897740960121155, "train_acc": 0.475, "val_loss": 0.6839264035224915, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6678438782691956, "train_acc": 0.565, "val_loss": 0.6550726890563965, "v... |
235 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.86, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4555, "learning_rate": 0.07493563642091583, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.592796,
0.211822,
-0.128914,
0.1783,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.592796,
0.211822,
-0.128914,
0.1783,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.7700424194335938, "std": 2.1582367420196533}, "1": {"mean": 0.744238555431366, "std": 1.3664568662643433}, "2": {"mean": -1.8774051666259766, "std": 2.0022504329681396}, "3": {"mean": 0.6631090641021729, "std": 1.470445990562439}, "4": {"mean": 0.8999756... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.592796, 0.211822, -0.128914, 0.1783, 0.784324], [-0.201407, 0.4332... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689752995967865, "train_acc": 0.545, "val_loss": 0.690361499786377, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6150455176830292, "train_acc": 0.58, "val_loss": 0.6178766489028931, "val_... |
236 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 0.92, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3183, "learning_rate": 0.036676535855649145, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.55732,
0.626353,
-0.444243,
0.457411,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.55732,
0.626353,
-0.444243,
0.457411,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5266908407211304, "std": 2.2194714546203613}, "1": {"mean": 0.9709262251853943, "std": 2.3562982082366943}, "2": {"mean": 1.2106949090957642, "std": 1.9762758016586304}, "3": {"mean": -0.9979683756828308, "std": 1.1529384851455688}, "4": {"mean": 0.16816... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.55732, 0.626353, -0.444243, 0.457411, -0.363433], [0.914533, 0.048... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.697848379611969, "train_acc": 0.505, "val_loss": 0.6955541968345642, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6575530469417572, "train_acc": 0.59, "val_loss": 0.7136748433113098, "val_... |
237 | {"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.74, "improvement": 0.27999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9074, "learning_rate": 0.0999095136... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.583129,
0.182804,
0.461971,
0.554887,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.583129,
0.182804,
0.461971,
0.554887,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.1172189712524414, "std": 3.6816565990448}, "1": {"mean": 3.518263101577759, "std": 3.4914822578430176}, "2": {"mean": -1.8949618339538574, "std": 1.3746562004089355}, "3": {"mean": 0.6455516815185547, "std": 2.840930938720703}, "4": {"mean": -0.620507180... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.583129, 0.182804, 0.461971, 0.554887, 1.021879], [1.280699, 0.491... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6905492544174194, "train_acc": 0.465, "val_loss": 0.7217980027198792, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6732184588909149, "train_acc": 0.605, "val_loss": 0.7030490040779114, "va... |
238 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9676, "learning_rate": 0.08810901308... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.625451,
-0.405169,
0.127388,
0.222203,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.625451,
-0.405169,
0.127388,
0.222203,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.7730553150177, "std": 3.2304770946502686}, "1": {"mean": -3.657362937927246, "std": 2.3873236179351807}, "2": {"mean": 1.7270500659942627, "std": 3.3943231105804443}, "3": {"mean": 1.5464684963226318, "std": 3.328011989593506}, "4": {"mean": 0.6896488666... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.625451, -0.405169, 0.127388, 0.222203, 0.098714], [-0.566442, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7389497458934784, "train_acc": 0.44, "val_loss": 0.6940471529960632, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6814596951007843, "train_acc": 0.555, "val_loss": 0.7181776165962219, "va... |
239 | {"target_pattern": "alternating", "degraded_accuracy": 0.78, "improved_accuracy": 0.98, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9178, "learning_rate": 0.0883606176... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.377361,
-0.111437,
0.086695,
0.391487,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.377361,
-0.111437,
0.086695,
0.391487,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.18042269349098206, "std": 1.1669566631317139}, "1": {"mean": -0.03622565418481827, "std": 1.705414891242981}, "2": {"mean": -0.19145488739013672, "std": 1.374375343322754}, "3": {"mean": -0.30848607420921326, "std": 1.8766849040985107}, "4": {"mean": -4.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.377361, -0.111437, 0.086695, 0.391487, -0.160669], [-0.682326, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7009536325931549, "train_acc": 0.465, "val_loss": 0.6745201945304871, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6807654500007629, "train_acc": 0.555, "val_loss": 0.6768410205841064, "v... |
240 | {"target_pattern": "ends_with", "degraded_accuracy": 0.72, "improved_accuracy": 0.9, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8732, "learning_rate": 0.0453343381423... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.398966,
0.117424,
0.164656,
-0.271036,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.398966,
0.117424,
0.164656,
-0.271036,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.2103400230407715, "std": 1.7029283046722412}, "1": {"mean": 2.049250602722168, "std": 2.0066590309143066}, "2": {"mean": -1.8976930379867554, "std": 1.1407452821731567}, "3": {"mean": 0.5985059142112732, "std": 1.160295009613037}, "4": {"mean": -1.081234... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.398966, 0.117424, 0.164656, -0.271036, 0.598423], [0.273787, 0.479... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6923274099826813, "train_acc": 0.445, "val_loss": 0.723362147808075, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.676659107208252, "train_acc": 0.595, "val_loss": 0.7273703217506409, "val... |
241 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6822, "learning_rate": 0.07006467662378152, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.419032,
0.499175,
-0.021398,
-0.533109,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.419032,
0.499175,
-0.021398,
-0.533109,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.2809787690639496, "std": 1.6903598308563232}, "1": {"mean": 1.6800150871276855, "std": 1.9428188800811768}, "2": {"mean": 0.39764904975891113, "std": 1.69500732421875}, "3": {"mean": 0.2944380044937134, "std": 2.0835516452789307}, "4": {"mean": 0.011134... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.419032, 0.499175, -0.021398, -0.533109, -0.1941], [0.76473, -0.442... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951322853565216, "train_acc": 0.48, "val_loss": 0.674701452255249, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6732220649719238, "train_acc": 0.56, "val_loss": 0.604901134967804, "val_a... |
242 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8782, "learning_rate": 0.054374675981... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.479078,
0.159591,
-0.294131,
0.164758,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.479078,
0.159591,
-0.294131,
0.164758,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.2705731391906738, "std": 1.9100978374481201}, "1": {"mean": 0.1814700812101364, "std": 1.868667721748352}, "2": {"mean": 1.8174707889556885, "std": 1.5317641496658325}, "3": {"mean": 0.6634835004806519, "std": 1.800892949104309}, "4": {"mean": 0.9584864... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.479078, 0.159591, -0.294131, 0.164758, -0.642862], [0.346573, 0.6... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.68962362408638, "train_acc": 0.465, "val_loss": 0.6504271030426025, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6365930140018463, "train_acc": 0.565, "val_loss": 0.5243518352508545, "val... |
243 | {"target_pattern": "has_majority", "degraded_accuracy": 0.64, "improved_accuracy": 0.86, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7905, "learning_rate": 0.039960624... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.116678,
0.415678,
0.443935,
0.423317,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.116678,
0.415678,
0.443935,
0.423317,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.4038705825805664, "std": 1.7453358173370361}, "1": {"mean": -2.504767656326294, "std": 1.7293320894241333}, "2": {"mean": -0.40891164541244507, "std": 0.9595468640327454}, "3": {"mean": 2.1053147315979004, "std": 1.8479387760162354}, "4": {"mean": -0.383... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.116678, 0.415678, 0.443935, 0.423317, 0.204308], [-0.341896, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6868078112602234, "train_acc": 0.56, "val_loss": 0.6626186966896057, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.638790100812912, "train_acc": 0.56, "val_loss": 0.6172395944595337, "val_... |
244 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9176, "learning_rate": 0.0308... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.327619,
-0.463174,
-0.159337,
-0.019789... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.327619,
-0.463174,
-0.159337,
-0.019789... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.1495046615600586, "std": 1.6863564252853394}, "1": {"mean": 2.4636762142181396, "std": 2.0588741302490234}, "2": {"mean": 1.115837574005127, "std": 1.074562430381775}, "3": {"mean": 1.2781168222427368, "std": 1.9544227123260498}, "4": {"mean": 2.6837553... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.327619, -0.463174, -0.159337, -0.019789, -0.428202], [0.452876, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6803795099258423, "train_acc": 0.575, "val_loss": 0.7145364284515381, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6764961779117584, "train_acc": 0.575, "val_loss": 0.6931102275848389, "v... |
245 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.34, "improved_accuracy": 0.94, "improvement": 0.5999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3107, "learning_rate": 0.0398773011... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.506302,
-0.260521,
-0.002049,
-0.013935... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.506302,
-0.260521,
-0.002049,
-0.013935... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.6654585599899292, "std": 1.4229596853256226}, "1": {"mean": 2.3231897354125977, "std": 2.180840015411377}, "2": {"mean": 2.5621907711029053, "std": 2.283212423324585}, "3": {"mean": 0.01828681491315365, "std": 1.4826737642288208}, "4": {"mean": -1.65172... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.506302, -0.260521, -0.002049, -0.013935, -0.254408], [0.931261, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6696191430091858, "train_acc": 0.605, "val_loss": 0.7754157781600952, "val_acc": 0.34}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6558036208152771, "train_acc": 0.605, "val_loss": 0.784761369228363, "va... |
246 | {"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6815, "learning_rate": 0.0575564885... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.027294,
0.498845,
0.367861,
0.652714,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.027294,
0.498845,
0.367861,
0.652714,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.3169972896575928, "std": 2.167654514312744}, "1": {"mean": -2.0416128635406494, "std": 2.8780665397644043}, "2": {"mean": -1.0987564325332642, "std": 1.2703931331634521}, "3": {"mean": -1.417303442955017, "std": 2.9538753032684326}, "4": {"mean": 1.59511... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.027294, 0.498845, 0.367861, 0.652714, 0.152229], [0.440462, -1.251... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7478350698947906, "train_acc": 0.435, "val_loss": 0.7193804979324341, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7055534422397614, "train_acc": 0.435, "val_loss": 0.6884782314300537, "v... |
247 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8337, "learning_rate": 0.0925950229... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.362867,
-0.214799,
0.777809,
0.396865,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.362867,
-0.214799,
0.777809,
0.396865,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.7372546195983887, "std": 3.356929302215576}, "1": {"mean": 1.9232534170150757, "std": 2.1359918117523193}, "2": {"mean": 4.397416591644287, "std": 4.601272106170654}, "3": {"mean": 4.299324989318848, "std": 4.378497123718262}, "4": {"mean": 0.19348190724... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.362867, -0.214799, 0.777809, 0.396865, -0.300199], [0.801249, 0.23... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7138919234275818, "train_acc": 0.455, "val_loss": 0.685554027557373, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6602869033813477, "train_acc": 0.565, "val_loss": 0.6121813058853149, "va... |
248 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6311, "learning_rate": 0.061124... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.472579,
-0.263441,
0.098552,
0.210072,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.472579,
-0.263441,
0.098552,
0.210072,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4220495223999023, "std": 1.4091262817382812}, "1": {"mean": 1.0030627250671387, "std": 1.1015475988388062}, "2": {"mean": 1.228477954864502, "std": 1.5705407857894897}, "3": {"mean": -0.38096916675567627, "std": 1.2737594842910767}, "4": {"mean": 0.14009... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.472579, -0.263441, 0.098552, 0.210072, 0.414562], [0.205829, 0.396... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.698856920003891, "train_acc": 0.42, "val_loss": 0.6324793100357056, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6209041774272919, "train_acc": 0.57, "val_loss": 0.5148205757141113, "val_... |
249 | {"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6541, "learning_rate": 0.0764733757... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.32165,
-0.144761,
-0.364278,
0.304881,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.32165,
-0.144761,
-0.364278,
0.304881,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.683555543422699, "std": 1.015865445137024}, "1": {"mean": -3.3865573406219482, "std": 2.302671432495117}, "2": {"mean": -0.9018374085426331, "std": 1.9715697765350342}, "3": {"mean": 1.9429517984390259, "std": 2.4120795726776123}, "4": {"mean": -1.07876... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.32165, -0.144761, -0.364278, 0.304881, -0.219069], [0.311437, -0.7... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6849904954433441, "train_acc": 0.465, "val_loss": 0.7386872172355652, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6449237763881683, "train_acc": 0.575, "val_loss": 0.6162315607070923, "v... |
250 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1033, "learning_rate": 0.07366565805769437, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.61222,
0.828227,
-0.113778,
-0.143553,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.61222,
0.828227,
-0.113778,
-0.143553,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.5080654621124268, "std": 3.9397308826446533}, "1": {"mean": 1.9642270803451538, "std": 3.116173267364502}, "2": {"mean": -0.027052100747823715, "std": 3.3880958557128906}, "3": {"mean": 2.7116496562957764, "std": 4.064291477203369}, "4": {"mean": 0.11527... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.61222, 0.828227, -0.113778, -0.143553, -0.118309], [1.267861, 0.52... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6978203654289246, "train_acc": 0.495, "val_loss": 0.693436861038208, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.682516485452652, "train_acc": 0.565, "val_loss": 0.6827909350395203, "val... |
251 | {"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.94, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8870, "learning_rate": 0.0518166144... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.681496,
-0.409332,
0.536653,
0.496695,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.681496,
-0.409332,
0.536653,
0.496695,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.02928406186401844, "std": 1.9302524328231812}, "1": {"mean": -0.519017219543457, "std": 0.6082606315612793}, "2": {"mean": -1.2282943725585938, "std": 3.5418834686279297}, "3": {"mean": 3.6282246112823486, "std": 2.6064035892486572}, "4": {"mean": -1.34... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.681496, -0.409332, 0.536653, 0.496695, -0.142049], [-0.29572, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6865241527557373, "train_acc": 0.5, "val_loss": 0.735247015953064, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.632686972618103, "train_acc": 0.62, "val_loss": 0.6501844525337219, "val_ac... |
252 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 1.0, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4400, "learning_rate": 0.07231771973194938, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.338298,
-0.320744,
0.125452,
0.141738,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.338298,
-0.320744,
0.125452,
0.141738,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.7172582745552063, "std": 1.129451036453247}, "1": {"mean": 0.5705915093421936, "std": 1.6846686601638794}, "2": {"mean": 1.3764042854309082, "std": 1.6786205768585205}, "3": {"mean": 0.15964803099632263, "std": 1.1849390268325806}, "4": {"mean": -0.8191... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.338298, -0.320744, 0.125452, 0.141738, -0.282992], [-0.475678, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6777534484863281, "train_acc": 0.575, "val_loss": 0.6167909502983093, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5835102498531342, "train_acc": 0.575, "val_loss": 0.4650891125202179, "va... |
253 | {"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.9, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9462, "learning_rate": 0.043725448587003994, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.212919,
-0.06064,
-0.367066,
-0.255139,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.212919,
-0.06064,
-0.367066,
-0.255139,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.5915578603744507, "std": 0.920381486415863}, "1": {"mean": -0.007635464426130056, "std": 1.7085353136062622}, "2": {"mean": 1.4691433906555176, "std": 2.345905303955078}, "3": {"mean": -2.349513530731201, "std": 1.3441139459609985}, "4": {"mean": 4.6597... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.212919, -0.06064, -0.367066, -0.255139, 0.062079], [0.411282, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6934456825256348, "train_acc": 0.46, "val_loss": 0.6750376224517822, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.686715304851532, "train_acc": 0.54, "val_loss": 0.6592301726341248, "val_... |
254 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8816, "learning_rate": 0.017652... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.331507,
0.266859,
-0.24893,
0.074189,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.331507,
0.266859,
-0.24893,
0.074189,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7537398338317871, "std": 1.2379072904586792}, "1": {"mean": 0.38999107480049133, "std": 1.2961788177490234}, "2": {"mean": 1.3373453617095947, "std": 1.4810237884521484}, "3": {"mean": 2.0247342586517334, "std": 1.7538326978683472}, "4": {"mean": -2.3882... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.331507, 0.266859, -0.24893, 0.074189, 0.557403], [-0.044898, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7107976973056793, "train_acc": 0.435, "val_loss": 0.6930547952651978, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6953543126583099, "train_acc": 0.45, "val_loss": 0.6838595867156982, "val... |
255 | {"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1408, "learning_rate": 0.05255199878... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.067853,
0.573833,
0.378594,
0.504889,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.067853,
0.573833,
0.378594,
0.504889,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.645146131515503, "std": 2.0333707332611084}, "1": {"mean": 1.0628933906555176, "std": 1.0830063819885254}, "2": {"mean": -0.5342522859573364, "std": 2.1141748428344727}, "3": {"mean": -0.04893931746482849, "std": 1.7802211046218872}, "4": {"mean": 0.0905... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.067853, 0.573833, 0.378594, 0.504889, 0.063905], [0.284687, -0.083... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.694097250699997, "train_acc": 0.435, "val_loss": 0.6920236945152283, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819996237754822, "train_acc": 0.56, "val_loss": 0.6558611392974854, "val... |
256 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.38, "improved_accuracy": 0.82, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3098, "learning_rate": 0.05495... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.415705,
0.018945,
0.092342,
0.005179,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.415705,
0.018945,
0.092342,
0.005179,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.6231613159179688, "std": 1.9588161706924438}, "1": {"mean": 1.0993238687515259, "std": 2.055636405944824}, "2": {"mean": -3.8902347087860107, "std": 2.3895838260650635}, "3": {"mean": 0.2536788284778595, "std": 1.4471076726913452}, "4": {"mean": 0.468670... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.415705, 0.018945, 0.092342, 0.005179, 0.836606], [-0.26181, 0.7138... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.680576503276825, "train_acc": 0.6, "val_loss": 0.7617911696434021, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6686010658740997, "train_acc": 0.6, "val_loss": 0.751808226108551, "val_acc... |
257 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3046, "learning_rate": 0.06399... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.420023,
0.642037,
-0.042081,
-0.106789,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.420023,
0.642037,
-0.042081,
-0.106789,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.3223570585250854, "std": 1.7332570552825928}, "1": {"mean": 2.1840178966522217, "std": 2.236161947250366}, "2": {"mean": -2.9358761310577393, "std": 1.6122231483459473}, "3": {"mean": 1.9492911100387573, "std": 1.9968448877334595}, "4": {"mean": 0.596428... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.420023, 0.642037, -0.042081, -0.106789, -0.39685], [0.899857, 0.36... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.72688427567482, "train_acc": 0.42, "val_loss": 0.6906979084014893, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6859433650970459, "train_acc": 0.51, "val_loss": 0.7291874885559082, "val_a... |
258 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.98, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6094, "learning_rate": 0.07483508708132526, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.278725,
0.301461,
0.611968,
-0.385499,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.278725,
0.301461,
0.611968,
-0.385499,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.428464651107788, "std": 3.4892122745513916}, "1": {"mean": -2.8846895694732666, "std": 2.6353864669799805}, "2": {"mean": 3.4930918216705322, "std": 3.6223127841949463}, "3": {"mean": 4.332080841064453, "std": 4.141425609588623}, "4": {"mean": 4.25185966... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.278725, 0.301461, 0.611968, -0.385499, -0.006229], [-1.092187, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7584328353404999, "train_acc": 0.425, "val_loss": 0.6855779886245728, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6842920482158661, "train_acc": 0.455, "val_loss": 0.7059515118598938, "v... |
259 | {"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3026, "learning_rate": 0.06534669999794668, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.950799,
0.105197,
-0.042875,
0.112021,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.950799,
0.105197,
-0.042875,
0.112021,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0327109098434448, "std": 2.814544677734375}, "1": {"mean": 1.670172095298767, "std": 2.4038584232330322}, "2": {"mean": -3.3832499980926514, "std": 1.9534944295883179}, "3": {"mean": 0.609844446182251, "std": 2.392378330230713}, "4": {"mean": 3.185244083... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.950799, 0.105197, -0.042875, 0.112021, 1.303077], [0.543146, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.711128294467926, "train_acc": 0.44, "val_loss": 0.6890416145324707, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.691896378993988, "train_acc": 0.56, "val_loss": 0.6761675477027893, "val_a... |
260 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2356, "learning_rate": 0.0301904269851338, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.554686,
0.024438,
0.095165,
-0.034335,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.554686,
0.024438,
0.095165,
-0.034335,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9413977861404419, "std": 1.21834397315979}, "1": {"mean": 0.9805653095245361, "std": 1.3185456991195679}, "2": {"mean": -0.7891116738319397, "std": 0.5891311168670654}, "3": {"mean": -0.47530415654182434, "std": 1.114937663078308}, "4": {"mean": 1.021325... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.554686, 0.024438, 0.095165, -0.034335, -0.254072], [-0.258297, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6780301928520203, "train_acc": 0.585, "val_loss": 0.7131893634796143, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.670976459980011, "train_acc": 0.585, "val_loss": 0.6761913895606995, "va... |
261 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.98, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6447, "learning_rate": 0.08035653283636177, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.535771,
-0.665156,
0.623976,
0.167199,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.535771,
-0.665156,
0.623976,
0.167199,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.40442347526550293, "std": 1.872775912284851}, "1": {"mean": -0.28151270747184753, "std": 1.731642723083496}, "2": {"mean": -4.78167724609375, "std": 2.868309259414673}, "3": {"mean": -3.8443429470062256, "std": 2.4461724758148193}, "4": {"mean": -1.08649... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.535771, -0.665156, 0.623976, 0.167199, 0.091237], [-0.181217, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7065585851669312, "train_acc": 0.57, "val_loss": 0.7141064405441284, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6824344396591187, "train_acc": 0.57, "val_loss": 0.6643562316894531, "val_... |
262 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6487, "learning_rate": 0.0917938599831118, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.281736,
-0.833763,
0.022271,
0.351132,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.281736,
-0.833763,
0.022271,
0.351132,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.31939199566841125, "std": 1.797312617301941}, "1": {"mean": 3.616528272628784, "std": 2.6256344318389893}, "2": {"mean": -0.1431313455104828, "std": 1.4134693145751953}, "3": {"mean": -0.32047635316848755, "std": 1.1253653764724731}, "4": {"mean": 0.841... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.281736, -0.833763, 0.022271, 0.351132, 0.204023], [0.440253, 0.69... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6944684982299805, "train_acc": 0.565, "val_loss": 0.6977012157440186, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6306214034557343, "train_acc": 0.58, "val_loss": 0.5342711806297302, "va... |
263 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5752, "learning_rate": 0.049284043875883636,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.45161,
-0.192489,
0.367935,
0.067612,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.45161,
-0.192489,
0.367935,
0.067612,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.444361925125122, "std": 1.34274160861969}, "1": {"mean": 0.35217800736427307, "std": 1.7277436256408691}, "2": {"mean": 1.2110463380813599, "std": 1.7095224857330322}, "3": {"mean": 1.3470875024795532, "std": 1.5023525953292847}, "4": {"mean": -0.0178365... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.45161, -0.192489, 0.367935, 0.067612, 0.149834], [0.627048, 0.4308... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.675748884677887, "train_acc": 0.605, "val_loss": 0.7485790848731995, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6514272391796112, "train_acc": 0.605, "val_loss": 0.657462477684021, "val... |
264 | {"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4466, "learning_rate": 0.0220976020310... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.150284,
0.03961,
0.120784,
0.001725,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.150284,
0.03961,
0.120784,
0.001725,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5279935598373413, "std": 1.073635220527649}, "1": {"mean": -0.7180914282798767, "std": 1.029450535774231}, "2": {"mean": 1.5139954090118408, "std": 1.444700837135315}, "3": {"mean": -2.4234659671783447, "std": 1.8505605459213257}, "4": {"mean": 1.7002700... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.150284, 0.03961, 0.120784, 0.001725, 0.469095], [0.420652, 0.03392... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7071622908115387, "train_acc": 0.415, "val_loss": 0.6903774738311768, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6874456703662872, "train_acc": 0.585, "val_loss": 0.6919721961021423, "v... |
265 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5010, "learning_rate": 0.0854779... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.701028,
0.800065,
-0.129147,
-0.178569,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.701028,
0.800065,
-0.129147,
-0.178569,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5046313405036926, "std": 2.7204062938690186}, "1": {"mean": 0.31924718618392944, "std": 2.401076078414917}, "2": {"mean": -2.720492124557495, "std": 2.0101518630981445}, "3": {"mean": 2.013852834701538, "std": 3.6678402423858643}, "4": {"mean": 1.0032038... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.701028, 0.800065, -0.129147, -0.178569, -0.90449], [-0.838584, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6823641955852509, "train_acc": 0.505, "val_loss": 0.8411048650741577, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831620931625366, "train_acc": 0.575, "val_loss": 0.6352174282073975, "va... |
266 | {"target_pattern": "has_majority", "degraded_accuracy": 0.46, "improved_accuracy": 0.84, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1351, "learning_rate": 0.052422503... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.470237,
-1.035675,
-0.567446,
0.416272,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.470237,
-1.035675,
-0.567446,
0.416272,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.9638657569885254, "std": 2.1672537326812744}, "1": {"mean": -0.35813403129577637, "std": 1.9127496480941772}, "2": {"mean": 2.7297842502593994, "std": 2.0608649253845215}, "3": {"mean": 1.6116358041763306, "std": 2.7130496501922607}, "4": {"mean": -2.22... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.470237, -1.035675, -0.567446, 0.416272, 0.258469], [-0.449639, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6714209914207458, "train_acc": 0.595, "val_loss": 0.7783322334289551, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6845411062240601, "train_acc": 0.595, "val_loss": 0.805610179901123, "va... |
267 | {"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1862, "learning_rate": 0.05727739496... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.049668,
0.166863,
0.483651,
0.203215,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.049668,
0.166863,
0.483651,
0.203215,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.301322340965271, "std": 1.2464842796325684}, "1": {"mean": 3.3121345043182373, "std": 2.356938362121582}, "2": {"mean": -2.7879464626312256, "std": 2.4489829540252686}, "3": {"mean": -0.6461638808250427, "std": 2.4438629150390625}, "4": {"mean": -0.94446... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.049668, 0.166863, 0.483651, 0.203215, -0.375348], [0.422614, 0.768... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885011792182922, "train_acc": 0.55, "val_loss": 0.6864242553710938, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6905568242073059, "train_acc": 0.55, "val_loss": 0.6774202585220337, "val_... |
268 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4642, "learning_rate": 0.04261... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.250317,
-0.23127,
-0.442427,
-0.0867,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.250317,
-0.23127,
-0.442427,
-0.0867,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.5186930894851685, "std": 1.403130054473877}, "1": {"mean": 1.0032784938812256, "std": 1.4539377689361572}, "2": {"mean": -0.38279855251312256, "std": 2.1627509593963623}, "3": {"mean": 2.064347743988037, "std": 1.7732579708099365}, "4": {"mean": -2.0901... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.250317, -0.23127, -0.442427, -0.0867, -0.091045], [0.45449, 0.471... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7036124467849731, "train_acc": 0.45, "val_loss": 0.6692578196525574, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6828059554100037, "train_acc": 0.55, "val_loss": 0.6157163977622986, "val... |
269 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8468, "learning_rate": 0.034113... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.052151,
0.486505,
0.067885,
-0.041721,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.052151,
0.486505,
0.067885,
-0.041721,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.8911066055297852, "std": 0.9186416268348694}, "1": {"mean": -1.7460145950317383, "std": 1.4389445781707764}, "2": {"mean": 1.7488880157470703, "std": 1.8852177858352661}, "3": {"mean": 0.25163090229034424, "std": 0.9765052795410156}, "4": {"mean": 1.8882... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.052151, 0.486505, 0.067885, -0.041721, -0.143101], [-0.211005, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895203292369843, "train_acc": 0.52, "val_loss": 0.672849714756012, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6725022494792938, "train_acc": 0.55, "val_loss": 0.593658983707428, "val_a... |
270 | {"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1359, "learning_rate": 0.0699634549... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.902671,
0.647809,
-0.280214,
-0.160849,... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.902671,
0.647809,
-0.280214,
-0.160849,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.03500303253531456, "std": 1.9998748302459717}, "1": {"mean": -1.9084550142288208, "std": 3.3618760108947754}, "2": {"mean": 1.5685151815414429, "std": 3.659428834915161}, "3": {"mean": -3.115488052368164, "std": 2.885336399078369}, "4": {"mean": -2.45437... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.902671, 0.647809, -0.280214, -0.160849, 0.647894], [-0.916311, -1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7088111937046051, "train_acc": 0.42, "val_loss": 0.6916533708572388, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6834520101547241, "train_acc": 0.58, "val_loss": 0.6905726790428162, "val... |
271 | {"target_pattern": "ends_with", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1020, "learning_rate": 0.07946889600116225, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.262152,
0.12713,
0.0865,
-0.422359,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.262152,
0.12713,
0.0865,
-0.422359,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.500264286994934, "std": 1.128016710281372}, "1": {"mean": 0.36916694045066833, "std": 1.6554423570632935}, "2": {"mean": 1.330817699432373, "std": 1.5263947248458862}, "3": {"mean": 1.9138455390930176, "std": 1.6523898839950562}, "4": {"mean": 0.7110319... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.262152, 0.12713, 0.0865, -0.422359, -0.267356], [-0.130338, 0.112... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6864587962627411, "train_acc": 0.445, "val_loss": 0.690600574016571, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.584899365901947, "train_acc": 0.575, "val_loss": 0.555779218673706, "val_... |
272 | {"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7410, "learning_rate": 0.061312236915683875, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.655521,
0.009988,
0.036707,
0.031159,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.655521,
0.009988,
0.036707,
0.031159,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6817522644996643, "std": 1.6569297313690186}, "1": {"mean": 1.2814033031463623, "std": 1.9526727199554443}, "2": {"mean": -0.5222121477127075, "std": 1.1261742115020752}, "3": {"mean": 1.9612241983413696, "std": 1.716036081314087}, "4": {"mean": -0.06983... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.655521, 0.009988, 0.036707, 0.031159, 0.680041], [0.650304, -0.16... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886599063873291, "train_acc": 0.58, "val_loss": 0.6991164684295654, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.623577356338501, "train_acc": 0.58, "val_loss": 0.6231451630592346, "val_... |
273 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6970, "learning_rate": 0.026396... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.112839,
-0.194334,
-0.309696,
0.158804,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.112839,
-0.194334,
-0.309696,
0.158804,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.7584868669509888, "std": 0.9324144721031189}, "1": {"mean": 1.248575210571289, "std": 1.2751835584640503}, "2": {"mean": 1.0502283573150635, "std": 0.9518857598304749}, "3": {"mean": 0.8974134922027588, "std": 1.21597158908844}, "4": {"mean": 0.32879525... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.112839, -0.194334, -0.309696, 0.158804, -0.302065], [-0.352725, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.67882439494133, "train_acc": 0.58, "val_loss": 0.7101483941078186, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6801896095275879, "train_acc": 0.58, "val_loss": 0.7035386562347412, "val_ac... |
274 | {"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 1.0, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3789, "learning_rate": 0.08532816994826156, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.307506,
-0.366606,
-1.35055,
0.178204,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.307506,
-0.366606,
-1.35055,
0.178204,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -4.278493881225586, "std": 3.3507683277130127}, "1": {"mean": -3.11660099029541, "std": 3.62321138381958}, "2": {"mean": -0.6321070194244385, "std": 2.1172258853912354}, "3": {"mean": 0.642466127872467, "std": 2.3981857299804688}, "4": {"mean": 0.305971413... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.307506, -0.366606, -1.35055, 0.178204, -0.39428], [0.54044, -1.24... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.69510617852211, "train_acc": 0.475, "val_loss": 0.7222974896430969, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6823411881923676, "train_acc": 0.585, "val_loss": 0.7507632970809937, "val... |
275 | {"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7113, "learning_rate": 0.088875985092... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.354428,
-0.524225,
-0.292724,
-0.045311,... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.354428,
-0.524225,
-0.292724,
-0.045311,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.2631728649139404, "std": 1.5791131258010864}, "1": {"mean": 1.8757678270339966, "std": 1.876512050628662}, "2": {"mean": 1.1927435398101807, "std": 2.278531074523926}, "3": {"mean": 0.7275161743164062, "std": 2.626284599304199}, "4": {"mean": 1.95325338... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.354428, -0.524225, -0.292724, -0.045311, -0.569777], [-0.334145, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6850225627422333, "train_acc": 0.515, "val_loss": 0.7291833758354187, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6502350270748138, "train_acc": 0.575, "val_loss": 0.658700704574585, "va... |
276 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4373, "learning_rate": 0.02404... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.502546,
-0.401279,
0.432869,
0.11734,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.502546,
-0.401279,
0.432869,
0.11734,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.062331851571798325, "std": 1.4033757448196411}, "1": {"mean": -0.8908976912498474, "std": 1.4614343643188477}, "2": {"mean": -3.5772528648376465, "std": 1.9679725170135498}, "3": {"mean": 1.5920265913009644, "std": 1.881420373916626}, "4": {"mean": 1.00... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.502546, -0.401279, 0.432869, 0.11734, 0.061861], [-0.106521, 0.27... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912877261638641, "train_acc": 0.53, "val_loss": 0.7010151743888855, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6793920397758484, "train_acc": 0.575, "val_loss": 0.7068135142326355, "va... |
277 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 1.0, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7387, "learning_rate": 0.09250... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.313264,
-0.777658,
0.483727,
-1.246709,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.313264,
-0.777658,
0.483727,
-1.246709,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.407424211502075, "std": 3.4498140811920166}, "1": {"mean": -3.88911771774292, "std": 2.7686805725097656}, "2": {"mean": 1.6035152673721313, "std": 1.3566714525222778}, "3": {"mean": 0.8477146625518799, "std": 2.3837897777557373}, "4": {"mean": -5.519968... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.313264, -0.777658, 0.483727, -1.246709, 0.122984], [0.367349, -0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910243034362793, "train_acc": 0.48, "val_loss": 0.6869000196456909, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.701574295759201, "train_acc": 0.56, "val_loss": 0.6820698380470276, "val_... |
278 | {"target_pattern": "starts_with", "degraded_accuracy": 0.38, "improved_accuracy": 0.76, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5633, "learning_rate": 0.06873734850545006, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.746972,
0.38898,
-0.192797,
0.15421,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.746972,
0.38898,
-0.192797,
0.15421,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9470060467720032, "std": 2.1774678230285645}, "1": {"mean": 0.7874075174331665, "std": 2.588484525680542}, "2": {"mean": -2.2151072025299072, "std": 1.6420247554779053}, "3": {"mean": 1.4752774238586426, "std": 2.2857515811920166}, "4": {"mean": -1.93557... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.746972, 0.38898, -0.192797, 0.15421, -0.770851], [1.002442, 0.5878... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6695472598075867, "train_acc": 0.605, "val_loss": 0.841291606426239, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6308457851409912, "train_acc": 0.605, "val_loss": 0.7777751684188843, "va... |
279 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1409, "learning_rate": 0.07160... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.320384,
-0.947415,
-0.762206,
-0.217911... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.320384,
-0.947415,
-0.762206,
-0.217911... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -4.870769023895264, "std": 3.059316635131836}, "1": {"mean": 1.4912526607513428, "std": 1.2890595197677612}, "2": {"mean": -1.0053478479385376, "std": 1.993634819984436}, "3": {"mean": 1.1600803136825562, "std": 2.079583168029785}, "4": {"mean": -2.4561157... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.320384, -0.947415, -0.762206, -0.217911, -0.184243], [0.354775, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7146397829055786, "train_acc": 0.425, "val_loss": 0.7087223529815674, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6661822199821472, "train_acc": 0.575, "val_loss": 0.6709498763084412, "v... |
280 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2547, "learning_rate": 0.06917360008417699, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.281002,
0.937315,
-0.110966,
0.616072,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.281002,
0.937315,
-0.110966,
0.616072,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.4305057525634766, "std": 2.756892442703247}, "1": {"mean": 1.5732996463775635, "std": 2.8008127212524414}, "2": {"mean": 2.9901492595672607, "std": 2.793275833129883}, "3": {"mean": 2.086754322052002, "std": 3.148423671722412}, "4": {"mean": 0.7478598952... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.281002, 0.937315, -0.110966, 0.616072, -0.628835], [0.940013, 0.65... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6907570958137512, "train_acc": 0.555, "val_loss": 0.6656295657157898, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6622447371482849, "train_acc": 0.555, "val_loss": 0.586189329624176, "va... |
281 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.8, "improved_accuracy": 0.98, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9144, "learning_rate": 0.067597... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.013462,
0.178525,
-0.160892,
-0.590118,... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.013462,
0.178525,
-0.160892,
-0.590118,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.4423820972442627, "std": 1.1670832633972168}, "1": {"mean": -0.9798785448074341, "std": 2.8010549545288086}, "2": {"mean": -1.3071765899658203, "std": 1.1337833404541016}, "3": {"mean": 0.979093611240387, "std": 1.4586458206176758}, "4": {"mean": 3.0393... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.013462, 0.178525, -0.160892, -0.590118, 0.190213], [-0.936368, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6560030281543732, "train_acc": 0.61, "val_loss": 0.7730515003204346, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.569831520318985, "train_acc": 0.66, "val_loss": 0.473745197057724, "val_a... |
282 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7132, "learning_rate": 0.082612... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.871516,
-0.138073,
-0.012816,
0.123432,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.871516,
-0.138073,
-0.012816,
0.123432,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5515734553337097, "std": 2.4797000885009766}, "1": {"mean": 2.097048282623291, "std": 2.144087553024292}, "2": {"mean": 0.47944915294647217, "std": 2.2243309020996094}, "3": {"mean": -0.5333663821220398, "std": 3.293224334716797}, "4": {"mean": -3.923768... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.871516, -0.138073, -0.012816, 0.123432, 1.036283], [0.994593, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6849984228610992, "train_acc": 0.57, "val_loss": 0.6989446878433228, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6823070049285889, "train_acc": 0.57, "val_loss": 0.6953067183494568, "val_... |
283 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3877, "learning_rate": 0.052207343... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.120855,
-0.303376,
-0.372018,
-0.394863,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.120855,
-0.303376,
-0.372018,
-0.394863,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.1100215911865234, "std": 2.028379440307617}, "1": {"mean": 0.7105951905250549, "std": 0.9235044121742249}, "2": {"mean": -0.6419474482536316, "std": 0.9850064516067505}, "3": {"mean": -1.1111407279968262, "std": 0.9179160594940186}, "4": {"mean": 2.1993... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.120855, -0.303376, -0.372018, -0.394863, -0.691963], [0.090526, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6973057687282562, "train_acc": 0.42, "val_loss": 0.7020385265350342, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6724892258644104, "train_acc": 0.59, "val_loss": 0.6872432827949524, "val... |
284 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7329, "learning_rate": 0.072288682013... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.012754,
0.039538,
-0.039551,
0.2479,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.012754,
0.039538,
-0.039551,
0.2479,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4618462324142456, "std": 1.2562971115112305}, "1": {"mean": -0.27409103512763977, "std": 1.139849305152893}, "2": {"mean": 0.5259486436843872, "std": 1.1894537210464478}, "3": {"mean": 0.22306887805461884, "std": 1.065311312675476}, "4": {"mean": 1.39529... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.012754, 0.039538, -0.039551, 0.2479, 0.578288], [-0.555427, 0.3696... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6847818195819855, "train_acc": 0.565, "val_loss": 0.6787703037261963, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6675930023193359, "train_acc": 0.565, "val_loss": 0.5732485055923462, "v... |
285 | {"target_pattern": "starts_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.78, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2222, "learning_rate": 0.04613908739... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.666906,
0.222448,
0.505401,
-0.40856,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.666906,
0.222448,
0.505401,
-0.40856,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.21298418939113617, "std": 1.518753170967102}, "1": {"mean": 0.2466897815465927, "std": 1.2514094114303589}, "2": {"mean": -0.22379398345947266, "std": 1.104642391204834}, "3": {"mean": -0.8970046043395996, "std": 1.4696470499038696}, "4": {"mean": 1.558... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.666906, 0.222448, 0.505401, -0.40856, -0.003965], [0.502209, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7050209045410156, "train_acc": 0.475, "val_loss": 0.6596840023994446, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6198973655700684, "train_acc": 0.55, "val_loss": 0.5887001156806946, "val... |
286 | {"target_pattern": "alternating", "degraded_accuracy": 0.5, "improved_accuracy": 1.0, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6916, "learning_rate": 0.03138673356334388, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.162891,
0.297494,
0.200289,
0.6422,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.162891,
0.297494,
0.200289,
0.6422,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.4692397117614746, "std": 1.8119921684265137}, "1": {"mean": 0.3253876864910126, "std": 1.588186264038086}, "2": {"mean": 2.199458122253418, "std": 1.7417179346084595}, "3": {"mean": 0.8282346725463867, "std": 1.2961242198944092}, "4": {"mean": -0.9574052... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.162891, 0.297494, 0.200289, 0.6422, 0.276193], [-0.309345, -0.556... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972621083259583, "train_acc": 0.455, "val_loss": 0.6880207657814026, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721917986869812, "train_acc": 0.565, "val_loss": 0.679250955581665, "val... |
287 | {"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 1.0, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2526, "learning_rate": 0.031831087022235686, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.722988,
0.501526,
0.163752,
-0.007169,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.722988,
0.501526,
0.163752,
-0.007169,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.2484508752822876, "std": 2.318875789642334}, "1": {"mean": -0.7166292667388916, "std": 1.4703893661499023}, "2": {"mean": 0.47522011399269104, "std": 0.7774680852890015}, "3": {"mean": 1.0534402132034302, "std": 1.7955199480056763}, "4": {"mean": 1.50032... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.722988, 0.501526, 0.163752, -0.007169, -0.735847], [0.036191, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7127546966075897, "train_acc": 0.435, "val_loss": 0.6938869953155518, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6923922300338745, "train_acc": 0.47, "val_loss": 0.6852167248725891, "va... |
288 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8312, "learning_rate": 0.064249... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.4626,
0.37115,
-0.220517,
-0.093388,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.4626,
0.37115,
-0.220517,
-0.093388,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.43735697865486145, "std": 1.2435849905014038}, "1": {"mean": 0.6134199500083923, "std": 1.6807347536087036}, "2": {"mean": 1.2493613958358765, "std": 1.3527591228485107}, "3": {"mean": 0.8363423943519592, "std": 0.9814918041229248}, "4": {"mean": 1.01302... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.4626, 0.37115, -0.220517, -0.093388, -0.003283], [0.354064, 0.4732... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885879039764404, "train_acc": 0.55, "val_loss": 0.6831222772598267, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6779820919036865, "train_acc": 0.55, "val_loss": 0.6090139150619507, "val_... |
289 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5620, "learning_rate": 0.0735... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.86966,
0.076247,
0.512285,
0.182731,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.86966,
0.076247,
0.512285,
0.182731,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9330779910087585, "std": 1.7978086471557617}, "1": {"mean": -0.21345549821853638, "std": 2.02586030960083}, "2": {"mean": -1.6254807710647583, "std": 1.9644969701766968}, "3": {"mean": 0.07846371084451675, "std": 1.883620023727417}, "4": {"mean": -5.0615... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.86966, 0.076247, 0.512285, 0.182731, 0.169244], [-0.540568, -0.16... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6934032738208771, "train_acc": 0.62, "val_loss": 0.6853883862495422, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.67931067943573, "train_acc": 0.565, "val_loss": 0.6358214020729065, "val_... |
290 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2096, "learning_rate": 0.06412259960979436, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.387897,
0.128496,
0.042274,
0.108636,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.387897,
0.128496,
0.042274,
0.108636,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.02278485894203186, "std": 0.9535243511199951}, "1": {"mean": 1.4476953744888306, "std": 1.2789623737335205}, "2": {"mean": -1.085205316543579, "std": 1.767796516418457}, "3": {"mean": 1.6391677856445312, "std": 1.5545918941497803}, "4": {"mean": 0.16476... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.387897, 0.128496, 0.042274, 0.108636, 0.339487], [0.102623, 0.331... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6736805140972137, "train_acc": 0.595, "val_loss": 0.7369415163993835, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6520602405071259, "train_acc": 0.595, "val_loss": 0.6427724957466125, "v... |
291 | {"target_pattern": "palindrome", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2244, "learning_rate": 0.06794777041012895, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.560058,
0.238941,
0.163356,
0.255569,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.560058,
0.238941,
0.163356,
0.255569,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.2352064549922943, "std": 1.6527646780014038}, "1": {"mean": -1.6124119758605957, "std": 1.7319226264953613}, "2": {"mean": -0.30486997961997986, "std": 1.2882001399993896}, "3": {"mean": -0.4846246540546417, "std": 1.2998970746994019}, "4": {"mean": 2.0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.560058, 0.238941, 0.163356, 0.255569, -0.548844], [-0.678735, 0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7173006236553192, "train_acc": 0.445, "val_loss": 0.6686474680900574, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6858792901039124, "train_acc": 0.555, "val_loss": 0.6450303792953491, "va... |
292 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.72, "improved_accuracy": 0.94, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1553, "learning_rate": 0.05546... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.752199,
0.53841,
0.374184,
0.159318,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.752199,
0.53841,
0.374184,
0.159318,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 4.172168254852295, "std": 2.7292439937591553}, "1": {"mean": 0.7952728867530823, "std": 1.1849130392074585}, "2": {"mean": -2.899188995361328, "std": 2.6159145832061768}, "3": {"mean": 0.8524943590164185, "std": 1.8583974838256836}, "4": {"mean": 0.8157625... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.752199, 0.53841, 0.374184, 0.159318, 0.407746], [0.129072, 0.20688... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7143107652664185, "train_acc": 0.41, "val_loss": 0.7054865956306458, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.675995409488678, "train_acc": 0.59, "val_loss": 0.7642194628715515, "val_... |
293 | {"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.88, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2669, "learning_rate": 0.026492499558623907, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.452249,
0.322787,
0.203619,
0.27567,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.452249,
0.322787,
0.203619,
0.27567,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.1469719409942627, "std": 2.0722386837005615}, "1": {"mean": -0.8076144456863403, "std": 1.7344850301742554}, "2": {"mean": -3.2300808429718018, "std": 2.11446475982666}, "3": {"mean": 0.3358606696128845, "std": 1.4778486490249634}, "4": {"mean": 0.099649... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.452249, 0.322787, 0.203619, 0.27567, -0.918794], [-0.156866, 0.412... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7063345611095428, "train_acc": 0.45, "val_loss": 0.6988912224769592, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6929127871990204, "train_acc": 0.49, "val_loss": 0.6789158582687378, "val... |
294 | {"target_pattern": "has_majority", "degraded_accuracy": 0.64, "improved_accuracy": 0.92, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7275, "learning_rate": 0.036801495554017856, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.283655,
-0.495279,
-0.139426,
0.25819,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.283655,
-0.495279,
-0.139426,
0.25819,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.19228748977184296, "std": 0.9062316417694092}, "1": {"mean": -3.278485059738159, "std": 1.800942063331604}, "2": {"mean": -1.8063130378723145, "std": 1.0942834615707397}, "3": {"mean": -0.3572162091732025, "std": 1.1686561107635498}, "4": {"mean": -0.61... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.283655, -0.495279, -0.139426, 0.25819, -0.059706], [-0.059243, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6761584877967834, "train_acc": 0.59, "val_loss": 0.7541961073875427, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6708219349384308, "train_acc": 0.59, "val_loss": 0.7547332048416138, "val... |
295 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9904, "learning_rate": 0.02993... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.101051,
0.235497,
0.310304,
-0.399996,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.101051,
0.235497,
0.310304,
-0.399996,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.4332607686519623, "std": 1.1719670295715332}, "1": {"mean": 3.351161003112793, "std": 1.919260025024414}, "2": {"mean": 1.520933985710144, "std": 1.3927409648895264}, "3": {"mean": -0.6224223375320435, "std": 1.0236225128173828}, "4": {"mean": 1.30033886... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.101051, 0.235497, 0.310304, -0.399996, 0.347474], [-0.006677, 0.7... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6867544949054718, "train_acc": 0.56, "val_loss": 0.6792111396789551, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6704778671264648, "train_acc": 0.56, "val_loss": 0.6343873143196106, "val... |
296 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3836, "learning_rate": 0.071350996... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.174735,
-0.231477,
0.07873,
-0.277513,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.174735,
-0.231477,
0.07873,
-0.277513,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.583275556564331, "std": 1.2599740028381348}, "1": {"mean": 0.8508897423744202, "std": 1.7214008569717407}, "2": {"mean": 0.5683677196502686, "std": 1.6621487140655518}, "3": {"mean": 1.5415477752685547, "std": 2.2589337825775146}, "4": {"mean": 0.909942... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.174735, -0.231477, 0.07873, -0.277513, -0.406939], [0.702875, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845654547214508, "train_acc": 0.57, "val_loss": 0.7171134948730469, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.656058132648468, "train_acc": 0.57, "val_loss": 0.5658271312713623, "val_... |
297 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6013, "learning_rate": 0.04755... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.150787,
-0.115957,
-0.057798,
-0.005386,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.150787,
-0.115957,
-0.057798,
-0.005386,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7895455956459045, "std": 1.5860873460769653}, "1": {"mean": -2.362210512161255, "std": 1.4809236526489258}, "2": {"mean": 1.2271498441696167, "std": 2.213897705078125}, "3": {"mean": -0.8244228959083557, "std": 2.0780422687530518}, "4": {"mean": 0.355786... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.150787, -0.115957, -0.057798, -0.005386, 0.826871], [-0.15014, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910253763198853, "train_acc": 0.5, "val_loss": 0.6816564202308655, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6810327768325806, "train_acc": 0.56, "val_loss": 0.6779974102973938, "val_... |
298 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6882, "learning_rate": 0.04365... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.431066,
0.093486,
-0.436991,
-0.147112,... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.431066,
0.093486,
-0.436991,
-0.147112,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.2817747592926025, "std": 1.635075330734253}, "1": {"mean": 0.8034510016441345, "std": 1.1942507028579712}, "2": {"mean": 0.6208609342575073, "std": 1.4129880666732788}, "3": {"mean": -2.109415292739868, "std": 1.495638370513916}, "4": {"mean": 1.0833468... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.431066, 0.093486, -0.436991, -0.147112, -0.323013], [-0.29233, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6887035965919495, "train_acc": 0.485, "val_loss": 0.6401512622833252, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6432297825813293, "train_acc": 0.555, "val_loss": 0.5066053867340088, "v... |
299 | {"target_pattern": "has_majority", "degraded_accuracy": 0.6, "improved_accuracy": 0.84, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5228, "learning_rate": 0.07692829629889698, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.206566,
-0.311798,
-1.188915,
0.380495,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.206566,
-0.311798,
-1.188915,
0.380495,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.341672658920288, "std": 2.52162766456604}, "1": {"mean": -0.8720633387565613, "std": 2.151578426361084}, "2": {"mean": -1.104366421699524, "std": 1.887327790260315}, "3": {"mean": -1.4472600221633911, "std": 1.8914120197296143}, "4": {"mean": -2.2484345... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.206566, -0.311798, -1.188915, 0.380495, -0.233993], [0.437541, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6866288781166077, "train_acc": 0.575, "val_loss": 0.7009001970291138, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6728635132312775, "train_acc": 0.575, "val_loss": 0.7903376817703247, "v... |
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