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When Chain-of-Thought Fails, the Solution Hides in the Hidden States

Mehrafarin, Houman et al.
arXiv (OAI Expanded) · Papers
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computation-and-languagemachine-learning
Whether intermediate reasoning is computationally useful or merely explanatory depends on whether chain-of-thought (CoT) tokens contain task-relevant information. We present a mechanistic causal analysis of CoT on GSM8K using activation patching: transferring token-level hidden states from a CoT gen
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