nnsight-remote-interpretability

Official

Probe and steer neural network internals.

AuthorOrchestra-Research
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables deep inspection and manipulation of neural network internals, even for models too large to run on local hardware, democratizing access to foundation model interpretability.

Core Features & Use Cases

  • Remote Execution: Run interpretability experiments on massive models (70B+) using NDIF without requiring local GPU resources.
  • Universal PyTorch Support: Works with any PyTorch architecture, not just transformers.
  • Activation Patching & Analysis: Intervene in model computations, share activations between prompts, and analyze gradients.
  • Use Case: Debugging unexpected model behavior in a 70B parameter model by examining and intervening in its internal activations remotely, without needing to download or run the model locally.

Quick Start

Use the nnsight skill to analyze the internal activations of the Llama-3.1-70B model for the prompt 'The meaning of life is'.

Dependency Matrix

Required Modules

nnsighttorch

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: nnsight-remote-interpretability
Download link: https://github.com/Orchestra-Research/AI-Research-SKILLs/archive/main.zip#nnsight-remote-interpretability

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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