PranavViswanath/auditbench-activations-jlens-NLA

AuditBench activations, J-lens readouts and NLA verbalizations Every token of every AuditBench prompt and every model response, from meta-llama/Llama-3.3-70B-Instruct (revision 6f6073b423013f6a7d4d9f39144961bfbfbc386b) with one LoRA adapter per cell. Responses were regenerated greedily and run to the model's own stopping point rather than truncated at a fixed length, and the activations, readouts and verbalizations cover the prompt as well as the response. 84 cells across 14… See the full description on the dataset page: https://huggingface.co/datasets/PranavViswanath/auditbench-activations-jl

<iframe src="https://silytics.si/embed/item/2ee931ef-6a33-4d8d-8768-abe5cfae069f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.