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interpretable-replacement-networks

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papersTODAY 04:00 UTC

Paper Offers Formal Analysis of Mechanistic Interpretability Limits

A new arXiv preprint examines mechanistic interpretability from a formal, theoretical angle, questioning how much this approach can reveal about large language models. The work focuses on interpretable replacement networks, which are trained as stand-ins for frontier models so researchers can study their behavior. It argues that structural constraints may cap what such analyses can uncover about model internals.

interpretability/research/llm/arxiv