Morning Edition · Wednesday, August 5, 2026Published at 1:32 AM EDT · New York
A New Pipeline Uses Language Models to Do the Manual Work in Circuit Tracing
Grouping features and neurons into supernodes is the human bottleneck in attribution-graph analysis, and researchers report language models can perform the annotation instead.
Circuit tracing produces attribution graphs that show which internal features a language model used to reach an output. The technique works, and it does not scale, because a person has to examine thousands of individual features or multilay…
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Part of a tracked trend
Interpretability Gets Automated
Interpretability progress increasingly comes from using language models to automate the labor-intensive human steps in existing analysis methods rather than from new mathematics, turning circuit-level analysis from a per-behavior study into something that can run at production scale.
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