# nnsight-remote-interpretability

> Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run int

- Source: https://doutorai.pt/en/components/skills__nnsight-remote-interpretability
- Type: Skills
- Category: AI research
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/nnsight-remote-interpretability && curl -fsSL https://doutorai.pt/data/lib/skills__nnsight-remote-interpretability.md -o .claude/skills/nnsight-remote-interpretability/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
---
name: nnsight-remote-interpretability
description: 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.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [nnsight, NDIF, Remote Execution, Mechanistic Interpretability, Model Internals]
dependencies: [nnsight>=0.5.0, torch>=2.0.0]
---

# nnsight: Transparent Access to Neural Network Internals

nnsight (/ɛn

- 🔒 Full content on the Pro plan (€7.99/month) -
```

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__nnsight-remote-interpretability