transformer-lens-interpretability

transformer-lens-interpretability is an open-source frontend skill for Claude Code and compatible agents, published by Orchestra-Research. Its author describes it as: “Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, s…”. The project has 12k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`.

What transformer-lens-interpretability does

TransformerLens is the de facto standard library for mechanistic interpretability research on GPT-style language models. Created by Neel Nanda and maintained by Bryce Meyer, it provides clean interfaces to inspect and manipulate model internals via HookPoints on every activation.

Installation

Add transformer-lens-interpretability to your agent with:

/plugin marketplace add Orchestra-Research/AI-Research-SKILLs

Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.

What's inside

The SKILL.md for transformer-lens-interpretability is organised into these sections:

• When to Use TransformerLens
• Installation
• Core Concepts
• HookedTransformer
• Supported Models (50+)
• Activation Caching
• ActivationCache Keys
• Workflow 1: Activation Patching (Causal Tracing)
• Step-by-Step
• Checklist
• Workflow 2: Circuit Analysis (Indirect Object Identification)
• Workflow 3: Induction Head Detection

When to use it

Reach for transformer-lens-interpretability when you want frontend help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.

Strengths

• Clear MIT license — safe to read and adapt
• Ships in Orchestra-Research/AI-Research-SKILLs, an established project with 11,807 GitHub stars
• Actively maintained (recent commits)

Topics

Frequently asked questions

What does transformer-lens-interpretability do?

Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.

How do I install transformer-lens-interpretability?

Run /plugin marketplace add Orchestra-Research/AI-Research-SKILLs in your agent, then reload your skills. Review the source at https://github.com/Orchestra-Research/AI-Research-SKILLs before installing.

Is transformer-lens-interpretability free to use?

Yes. transformer-lens-interpretability is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.

Where does transformer-lens-interpretability come from?

transformer-lens-interpretability ships inside Orchestra-Research/AI-Research-SKILLs, a repository that contains 41 catalogued skills in total. The repository's 11,807 GitHub stars apply to that whole collection, not to this skill on its own.