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AI EngineeringTeX

Pyvene Interventions

by Orchestra-Research

Pyvene Interventions is an AI Engineering skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars838 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/07/19+1% in starsRepository updated 2026/06/16
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Install in seconds
Install Pyvene Interventions
Copy Pyvene Interventions into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/04-mechanistic-interpretability/pyvene ~/.claude/skills/pyvene

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
04-mechanistic-interpretability/pyvene/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to
~/.claude/skills/pyvene
Collection
One of 50 skills cataloged from this repository
Category
AI Engineering — 3670 skills

What Pyvene Interventions does

Provides guidance for performing causal interventions on PyTorch models using pyvene. Use for causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

Pyvene Interventions is cataloged under AI Engineering on DirSkills. Pyvene Interventions comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Documentation

README

pyvene: Causal Interventions for Neural Networks

pyvene is Stanford NLP's library for performing causal interventions on PyTorch models. It provides a declarative, dict-based framework for activation patching, causal tracing, and interchange intervention training - making intervention experiments reproducible and shareable.

GitHub: stanfordnlp/pyvene (840+ stars) Paper: pyvene: A Library for Understanding and Improving PyTorch Models via Interventions (NAACL 2024)

When to Use pyvene

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Pyvene Interventions

  • What else does Orchestra-Research publish alongside Pyvene Interventions?

    Pyvene Interventions is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way Pyvene Interventions does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.

  • How does Pyvene Interventions compare to other AI Engineering skills?

    Pyvene Interventions ranks #360 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Pyvene Interventions against them. Open each page to compare what they document and how they install.

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