Download audit.csv from richardyoung/lab10-make-it-say-no: direct link, hf CLI and curl.
- Browser
- Download file 534 Bytes
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https://huggingface.co/datasets/richardyoung/lab10-make-it-say-no/resolve/main/audit.csv
- Command line
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hf download hf://datasets/richardyoung/lab10-make-it-say-no/audit.csv
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curl -L -o audit.csv https://huggingface.co/datasets/richardyoung/lab10-make-it-say-no/resolve/main/audit.csv
534 Bytes
| layer,n_must_block,n_must_pass,caught,missed,wrongly_blocked,let_through,blocked_total,catch_rate,over_refusal_rate,refusal_precision,youden_j | |
| layer 1 路 input filter (instructor),10,10,4,6,1,9,5,0.4,0.1,0.8,0.3 | |
| layer 1 路 PARANOID variant (the control experiment),10,10,10,0,10,0,20,1.0,1.0,0.5,0.0 | |
| layer 2 路 scope judge (model:qwen2.5:3b-instruct) @ t>0.50,10,10,10,0,8,2,18,1.0,0.8,0.5556,0.2 | |
| layer 3 路 output schema (instructor),5,5,5,0,0,5,5,1.0,0.0,1.0,1.0 | |
| THE CHAIN 路 first refusal wins,10,10,10,0,8,2,18,1.0,0.8,0.5556,0.2 | |