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Pyvene Interventions

davila7/claude-code-templates

This brings Stanford NLP's pyvene library to Claude, letting you run causal interventions on PyTorch models without writing boilerplate. If you're doing activation patching, causal tracing (ROME-style), or interchange intervention training, this handles the setup through a dict-based config system. The main win is reproducibility: experiments become shareable artifacts you can push to HuggingFace instead of scattered notebooks. It works with any PyTorch architecture, not just transformers, which matters if you're testing causal hypotheses beyond language models. The library has 840+ stars and a NAACL 2024 paper backing it, so the abstractions are research-tested rather than someone's weekend project.

skills.sh installs
287
GitHub stars
33.2K
last updated
Aug 21, 2026
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Install

$ npx -y skills add davila7/claude-code-templates --skill pyvene-interventions --agent claude-code

Installs into .claude/skills of the current project.

Files

This brings Stanford NLP's pyvene library to Claude, letting you run causal interventions on PyTorch models without writing boilerplate. If you're doing activation patching, causal tracing (ROME-style), or interchange intervention training, this handles the setup through a dict-based config system. The main win is reproducibility: experiments become shareable artifacts you can push to HuggingFace instead of scattered notebooks. It works with any PyTorch architecture, not just transformers, which matters if you're testing causal hypotheses beyond language models. The library has 840+ stars and a NAACL 2024 paper backing it, so the abstractions are research-tested rather than someone's weekend project.

Browse the repository on GitHub

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Details

Repository
github.com/davila7/claude-code-templates
Categories
Testing & QA, Data Science & ML
First seen
Jun 3, 2026

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