Researcher's expanded analysis of 5 LLMs across 8 languages reveals that large language models think geometrically rather than linguistically in their middle layers

Expanded neuroanatomy experiment from 2 languages to 8 (English, Chinese, Arabic, Russian, Japanese, Korean, Hindi, French) across 5 models including Qwen3.5-27B, MiniMax M2.5, GLM-4.7, GPT-OSS-120B, and Gemma-4 31B

All five models tested show consistent geometric thinking patterns in their middle layers, contradicting the earlier hypothesis that LLMs use a universal language

Researcher revised and reposted the previously sloppy third article in the LLM Neuroanatomy series, with additional analysis of Gemma-4 31B results

Plans to release analysis results for Gemma-4-31B-RYS and Qwen3.6-35B-RYS this week following overnight processing