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Language Models Internally Encode Program Properties in Coding Agents
Research shows that language models used in coding agents linearly encode properties of the evolving program through their residual streams. A logistic-regression probe on hidden states can reveal these internal representations during software-engineering tasks.
Understanding what language models internally represent about code can improve transparency and guide enhancements in AI coding tools. This insight helps clarify how coding agents reason and edit code over multiple steps.
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Score 74
Source Type arxiv
Reposts 0
Topic Quality 64
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