OpenAI Transformer Debugger in AI answers

Transformer Debugger (TDB) is an open-source tool by OpenAI's Superalignment team designed to investigate and explain specific behaviors of small language models using automated interpretability techniques and sparse autoencoders. It provides a neuron viewer frontend, an activation server backend for running inferences, and a simple GPT-2 model/autoencoder library, enabling rapid exploration without writing code and allowing forward-pass interventions to see how behavior changes. It identifies contributing components—neurons, attention heads, and autoencoder latents—and offers automatically generated explanations plus circuit tracing to help researchers understand why a model activates certain components in response to prompts.