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Research & Science · Python · By Orchestra-Research
3 skills found.
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Guides training and analyzing sparse autoencoders with SAELens to break neural network activations into interpretable features, including superposition and monosemanticity studies. | Orchestra-Research/ | 13k | 5 repos | ~3.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis. | Orchestra-Research/ | 13k | 3 repos | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | Guides causal experiments on PyTorch models with pyvene, such as causal tracing, activation patching and interchange intervention training, to test how a model works. | Orchestra-Research/ | 13k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | 3 mo ago |