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TopicsSparse Autoencoders Mechanistic Interpretability AI Capability Evaluation

HypotheSAEs' benchmark gave NLParam and HypoGenic baselines more generous resource budgets than their published experiments.

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Notably, this sample budget is significantly larger than either method uses in their publication experiments (4,748 for NLPARAM; 200 for HYPOGENIC), suggesting our comparisons are generous to the baselines.

Sparse Autoencoders for Hypothesis Generationpreprintextraction 0.60

Movva, Rajiv et al. · arXiv.org · Feb 5, 2025 · original

Baselines allowed up to 50x HypotheSAEs' cost and up to 20,000 training samples; same embeddings and LLMs used for all methods.

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