Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations

ArXi:2605.27970v1 Announce Type: new While large language models (LLMs) are trained purely on textual data, prior work has shown that their internal representations can exhibit rich geometric structure in embedding space. Building on this line of work, we investigate whether such structure is similar to human perceptual organisation across different domains (e.g., color, pitch, emotion, and taste