AINeutralarXiv – CS AI · 10h ago6/10
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A Geometric Perspective on Next-Token Prediction in Large Language Models: Three Emerging Phases
Researchers have developed a geometric framework for understanding how large language models process information across their layers, identifying three distinct phases in next-token prediction: Seeding Multiplexing, Hoisting Overriding, and Focal Convergence. The study reveals that model depth primarily increases capacity for candidate disambiguation rather than adding fundamentally new computational stages.