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Overview
Can we reverse engineer transformer language models into human-understandable computer programs?
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Characterizing interference weights in a tiny language model
We identify interference weights in a 1-layer transformer by measuring their effect on model outputs and loss.
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Verbalizable Representations Form a Global Workspace in Language Models
We find that Claude maintains a small, privileged set of representations it can report on, control, and reason with, atop a much larger volume of automatic processing.
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Circuits Updates - May 2026
A short update on understanding features through downstream connections.
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