The Geometry of Intelligence: Unpacking Superposition, Polysemanticity, and the Architecture of Sparse Autoencoders in Large Language Models

1. Introduction: The Interpretability Crisis and the High-Dimensional Mind The rapid ascent of Large Language Models (LLMs) has ushered in a distinct paradox in the field of artificial intelligence: as Read More …

The Geometry of Intelligence: Unpacking Superposition, Polysemanticity, and the Architecture of Sparse Autoencoders in Large Language Models

1. Introduction: The Interpretability Crisis and the High-Dimensional Mind The rapid ascent of Large Language Models (LLMs) has ushered in a distinct paradox in the field of artificial intelligence: as Read More …

The Inner Universe: A Mechanistic Inquiry into the Representations and Reasoning of Transformer Architectures

Introduction: The Opaque Mind of the Machine: From Black Boxes to Mechanistic Understanding The advent of large language models (LLMs) built upon the transformer architecture represents a watershed moment in Read More …