#neural-dynamics News & Analysis

Emergent Causal-Geometric Dynamics Across Depth in Large Language Models

Researchers have synthesized geometric and causal analysis approaches to explain how large language models transform context into predictions across layers, identifying a sharp computational transition in decoder-only LLMs and revealing that angular structure in late layers governs token prediction while representation norms operate independently.