nnsight-remote-interpretability
OfficialProbe and steer neural network internals.
Education & Research#pytorch#remote execution#interpretability#nnsight#ndif#model internals#activation patching
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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