AINeutralarXiv – CS AI · Mar 36/107
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A Gauge Theory of Superposition: Toward a Sheaf-Theoretic Atlas of Neural Representations
Researchers propose a new gauge-theoretic framework for understanding superposition in large language models, replacing traditional single-dictionary approaches with local semantic charts. The method introduces three measurable obstructions to interpretability and demonstrates results on Llama 3.2 3B model with various datasets.