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 …

Decompiling the Mind of the Machine: A Comprehensive Analysis of Mechanistic Interpretability in Neural Networks

Part I: The Reverse Engineering Paradigm As artificial intelligence systems, particularly deep neural networks, achieve superhuman performance and become integrated into high-stakes domains, the imperative to understand their internal decision-making Read More …