PranavViswanath/jlens-gp-auditbench

The AuditBench J-lens corpus: 80-layer activations and gradient-pursuit readouts Everything needed to redo J-space interpretability work on the 84 AuditBench model organisms (14 hidden behaviors x 2 instillation methods x 3 adversarial-training levels) without a GPU harvest: the raw bf16 residual stream at all 80 layers for every recorded token, and a gradient-pursuit J-lens decomposition at every (position, layer) site. The organisms are Llama-3.3-70B-Instruct with an… See the full description on the dataset page: https://huggingface.co/datasets/PranavViswanath/jlens-gp-auditbench.

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