Google DeepMind x Neuronpedia
Introducing Gemma Scope, a new tool for understanding the internals of AI models.
Neuronpedia is an open platform for interpretability research.
Explore, steer, and experiment on AI models.
Explore Visually
Best viewed on a tablet or larger screen.
Run Example Search
Test Instantly
Neuronpedia lets you search and test models by doing inference over millions of SAE features. You can use your own custom text, and sort and filter results by layers, tokens, or both.
Infrastructure For All
Neuronpedia hosts interpretability data, tools, visualizations, and APIs for all researchers. We eliminate the engineering obstacles in order to move interpretability further, faster. Upload your SAEs and we take care of the rest.
Gemma Scope - Exploring the Inner Workings of Gemma 2
Language Model Interpretability Team, Google DeepMind
Llama Scope: SAEs for Llama-3.1-8B
OpenMOSS Team, Fudan University
Feature Splitting for GPT2-Small
Joseph Bloom
Gated SAE for Llama3-8B-Instruct
Julius Han
Multi TopK SAE for Llama3.1-8B
EleutherAI
Sparse Autoencoder for GPT2-Small - v5
OpenAI
Collaborate and Share
Every SAE feature has a unique link with link previews, can be compiled into sharable lists, and supports iframe embedding (as demonstrated here).
Who We Are
Neuronpedia was created by Johnny Lin, an ex-Apple engineer who previously founded a privacy startup. Neuronpedia is supported by the Long Term Future Fund and AISTOF.
Citation
@misc{neuronpedia, title = {Neuronpedia: Interactive Reference and Tooling for Analyzing Neural Networks}, year = {2023}, note = {Software available from neuronpedia.org}, url = {https://www.neuronpedia.org}, author = {Lin, Johnny} }