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The Claude team has released the "Circuit Tracer" tool as an open-source project, designed to enhance comprehension of the intricate operations within large language models (LLMs). This innovative tool crafts attribution graphs that visually depict the pathways through which the model processes information. Additionally, it empowers users to intervene in node activation values, facilitating the validation of hypotheses. Compatible with leading open-source weighted models, Circuit Tracer offers an intuitive interactive interface for exploration. The research showcases examples of two-stage reasoning and multi-language circuits, reinforcing the division of labor among node functions and the model's decision-making rationale. The project has garnered considerable attention on GitHub, underscoring its potential impact on the field.
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