Nnsight Remote Interpretability

Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.

Originally published by orchestra. Licensed under MIT. View original: https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/04-mechanistic-interpretability/nnsight

Anthropic and OpenAI are registered trademarks of their respective owners. skill.ski is not affiliated with or endorsed by Anthropic or OpenAI.

Add the free skill.ski MCP server to your .mcp.json or equivalent config file:

{
  "mcpServers": {
    "skill-ski-free": {
      "url": "https://mcp.skill.ski/free",
      "type": "http"
    }
  }
}

Once connected, this Oski is available as a callable tool at your runtime. No paywall. No sign-in required for free-tier Oskis.