LLMs are not the black box you were promised
large language modelsmechanistic interpretabilityAI interpretabilityneural networkscircuit tracing
Author: _jayhack_
Date: 6/2/2026
Article Summary:
The article discusses the progress made in understanding the inner workings of large language models (LLMs) through mechanistic interpretability, a technique that breaks down the model's reasoning into human-interpretable features.