Anthropic Open-Sources Circuit Tracing Tools for AI Models
Anthropic has open-sourced its circuit tracing tools, allowing researchers to delve deeper into the inner workings of AI models. Announced on their website, the tools generate attribution graphs that partially reveal the decision-making steps of large language models. These graphs can be explored interactively via a frontend hosted by Neuronpedia.
The open-source library supports popular open-weight models, enabling users to trace circuits, visualize, annotate, and share graphs. Researchers can also test hypotheses by modifying feature values and observing changes in model outputs. This initiative, led by participants in the Anthropic Fellows program and in collaboration with Decode Research, aims to foster a broader understanding of AI model behaviors.
Anthropic's CEO, Dario Amodei, has emphasized the importance of interpretability research, noting that understanding AI's inner workings is crucial as AI capabilities advance. By making these tools available to the community, Anthropic hopes to encourage further exploration and improvement of AI interpretability tools.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish. For example, in the Daily AI Brief you can read the most up to date AI news round-up 6 days per week.
Also, consider following us on social media:
Subscribe to Daily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more