AINeutralarXiv – CS AI · 8h ago6/10
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Abstract representational geometry supports inference in large language models
Researchers demonstrate that large language models develop abstract geometric structures in their internal representations when performing inference tasks, mirroring hippocampal organization in human brains. These geometric patterns emerge hierarchically across model layers and mechanistically support generalized reasoning, suggesting LLMs employ similar organizational principles to humans for adaptive task inference.