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Open & Scalable Technology for Understanding AI Systems

Follow for updates, including the release of code described here: an open-source LLM for producing automatic descriptions of features inside any model, and code for running your own endpoint of our observability interface.

We actively value open-source contributors and encourage you to experiment with our tech! If you’re interested in becoming an early tester, please get in touch.

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1. A toolkit for describing model features and intervening on those features to steer behavior.
   Python 240 22

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Showing 10 of 11 repositories

• TransluceAI/docent’s past year of commit activity
  Python
  108 10 1 3
  Updated Jun 16, 2026
• TransluceAI/claude-code-plugins’s past year of commit activity
  4
  Apache-2.0 0
  0 0
  Updated Jun 10, 2026
• TransluceAI/codex-plugins’s past year of commit activity
  0 Apache-2.0 0
  0 0
  Updated Jun 3, 2026
• circuits Public
  ADAG: Transluce's MLP neuron-level circuit tracing library
  TransluceAI/circuits’s past year of commit activity
  Python
  29 4 0 0
  Updated Apr 10, 2026
• observatory Public
  A toolkit for describing model features and intervening on those features to steer behavior.
  TransluceAI/observatory’s past year of commit activity
  Python
  240
  MIT
  22 4 3
  Updated Mar 16, 2026
• introspective-interp Public
  Repository for "Training Language Models To Explain Their Own Computations"
  TransluceAI/introspective-interp’s past year of commit activity
  Python
  22
  MIT
  6 1 1
  Updated Dec 22, 2025
• TransluceAI/.github’s past year of commit activity
  18 1 0 0
  Updated Dec 12, 2025
• TransluceAI/tau2-bench’s past year of commit activity
  Python 0 MIT
  359 0 0
  Updated Sep 16, 2025
• TransluceAI/jailbreaking-frontier-models’s past year of commit activity
  Python
  26 5 0 1
  Updated Sep 3, 2025
• TransluceAI/inspect_ai’s past year of commit activity
  Python
  8
  MIT
  563 0 0
  Updated Mar 25, 2025

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