The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models

ArXi:2605.06196v1 Announce Type: cross Large language models (LLMs) are routinely prompted to take on social roles ranging from individuals to institutions, yet it remains unclear whether their internal representations encode the granularity of such roles, from micro-level individual experience to macro-level organizational, institutional, or national reasoning. We show that they do. We define a contrast-based Granularity Axis as the difference between mean macro- and micro-role hidden states.