lens▌

A thinking framework for evaluating decisions, systems, and architectures through two fundamental system states: entropy (decay, disorder, complexity debt) and negentropy (growth, compounding value, increasing order).

TransformerLens is the de facto standard library for mechanistic interpretability research on GPT-style language models. Created by Neel Nanda and maintained by Bryce Meyer, it provides clean interfaces to inspect and manipulate model internals via HookPoints on every activation.