awesome-sparse-autoencoders
github.com/chrisliu298/awesome-sparse-autoencoders ↗A resource repository of sparse autoencoders for large language models
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me blog posts resources from awesome-sparse-autoencoders"
Installation instructions →What's inside
Blog Posts
Papers
- Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents
- Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
- Disentangling Dense Embeddings with Sparse Autoencoders
- Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small
- Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
- Improving Dictionary Learning with Gated Sparse Autoencoders
Showing a sample of 29 resources. View the full list on GitHub →