CLT-Forge
A Mechanistic Interpretability Toolkit for Cross-Layer Transcoder Training and Attribution-Graph Visualization
LLM-Interp/CLT-Forge
View on GitHub ↗A Mechanistic Interpretability Toolkit for Cross-Layer Transcoder Training and Attribution-Graph Visualization
CLT-Forge grew +0.0% in the last 30 days, ranks 64th of 71 in Interpretability & Alignment, last commit 86 days ago.
Star trajectory
97 days tracked2026-07-20108 stars today2026-10-25
Momentum
+0.0% in 30d, below the Interpretability & Alignment median of +0.2%.
Maintenance
Last commit 86 days ago, fresher than the median of 202d.
How it compares in Interpretability & Alignment
CLT-Forge
108
stars
+0.0% 30d
commit 86 days ago
Interpretability & Alignment median
298
stars
+0.2% 30d
commit ~202d ago
Leader · lmms-eval
4.5k
stars
+0.8% 30d
commit 2 days ago
Ranked 64th of 71 by stars.
- Language
- Python
- License
- MIT License
- Contributors
- 8
- Forks
- 9
- Watchers
- 1
- Open issues
- 2
- Releases
- 0
- Created
- 2025-11-18
- Stars this week
- +0
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