openai/circuit_sparsity
OfficialOpen-source release accompanying Gao et al. 2025
Our Review
- •Interactive Streamlit dashboard with hover/click exploration
- •Lightweight GPT for CPU/GPU inference and hook recording
- •Loads public data with local caching for quick starts
Our Verdict
Open-source Python code releasing circuit sparsity methods from Gao et al. 2025 paper. Best for AI researchers studying sparse interventions in transformer circuits. Key edge: official OpenAI implementation directly tied to the research.
Frequently Asked Questions
What is OpenAI's circuit_sparsity repo?
It is the open-source Python release accompanying the Gao et al. 2025 paper on circuit sparsity. The repo has 515 stars and no specified topics or homepage.
What is circuit_sparsity?
Open-source release accompanying Gao et al. 2025
How do I install circuit_sparsity?
Visit the GitHub repository at https://github.com/openai/circuit_sparsity for installation instructions.
What license does circuit_sparsity use?
circuit_sparsity uses the Apache-2.0 license.
What are alternatives to circuit_sparsity?
Search My AI Guide for similar tools in this category.
Open source & community-verified
Apache-2.0 licensed: free to use in any project, no strings attached. 525 developers have starred this, meaning the community has reviewed and trusted it.
Reviewed by My AI Guide for relevance, quality, and active maintenance before listing.