attribution-patching
About
Attribution patching is a gradient-based technique that approximates activation patching results in a single backward pass, enabling scalable analysis of thousands of model components simultaneously. Use it when traditional activation patching is too slow or when you need to analyze many components at once. It works by computing gradients of an output metric with respect to corrupted activations and multiplying them by the difference between clean and corrupted activation values.
Quick Install
Claude Code
Recommendednpx skills add majiayu000/claude-skill-registry -a claude-code/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/attribution-patchingCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the attribution-patching skill?
attribution-patching is a Claude Skill by majiayu000. Skills package instructions and resources that Claude loads on demand, so Claude can perform attribution-patching-related tasks without extra prompting.
How do I install attribution-patching?
Use the install commands on this page: add attribution-patching to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does attribution-patching belong to?
attribution-patching is in the Design category, tagged design.
Is attribution-patching free to use?
Yes. attribution-patching is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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