NAVER Study Reveals Geometric Structure of CoT Reasoning Steps in Hidden Layers

NAVER AI's interpretability paper "Beneath the Surface of Chains-of-Thought" shows that different reasoning operations in LLMs are geometrically separable in hidden-layer representations, with mid-level layers being most distinguishable.

2026-09-07 ~ 2026-09-08 · 2 related posts

• NAVER AI Study Finds Distinct LLM Reasoning Operations Are Geometrically Separable in Hidden States — naver-ai · 2026-09-07
• Paper finds CoT reasoning operations are geometrically organized in hidden states — dair_ai · 2026-09-08