Distance Topology Maps: A New Method to Reveal the Internal Semantic Structure of Large Language Models

Introduction / Main Post: Distance Topology Maps: A New Method to Reveal the Internal Semantic Structure of Large Language Models

This article introduces an innovative method called "Distance Topology Maps" for visualizing and understanding the internal semantic structure of large language models. By mapping high-dimensional model states to a low-dimensional topological space, researchers can intuitively observe how models process and represent semantic information.