nnsight-remote-interpretability
CommunityExplore neural network internals
Software Engineering#remote execution#interpretability#mechanistic interpretability#nnsight#model internals#NDIF
AuthorDoanNgocCuong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a unified interface for interpreting and manipulating the internal workings of any PyTorch neural network, including massive models that cannot be run locally.
Core Features & Use Cases
- Remote Execution: Run interpretability experiments on models up to 405B parameters without local GPU resources via NDIF.
- Universal PyTorch Support: Works with any PyTorch architecture (Transformers, Mamba, custom models).
- Mechanistic Interpretability: Access and modify activations, gradients, and attention patterns for deep model understanding.
- Use Case: Analyze the internal representations of a 70B parameter model to understand how it processes specific linguistic phenomena, without needing a supercomputer.
Quick Start
Use the nnsight skill to trace the model 'gpt2' with the prompt 'Hello world' and save the hidden states from layer 5.
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/DoanNgocCuong/continuous-training-pipeline_T3_2026/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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