ai-research-04-mechanistic-interpretability-nnsight
Guides users in interpreting neural network internals using nnsight, enabling experiments on large models without local GPU resources.
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The ai-research-04-mechanistic-interpretability-nnsight skill was audited on Jun 8, 2026 and we found 12 security issues across 1 threat category. Review the findings below before installing.
Categories Tested
Security Issues
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| 14 | **Paper**: [NNsight and NDIF: Democratizing Access to Foundation Model Internals](https://arxiv.org/abs/2407.14561) (ICLR 2025) |
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| 55 | For remote NDIF execution, sign up at [login.ndif.us](https://login.ndif.us) for an API key. |
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| 246 | 1. Sign up at [login.ndif.us](https://login.ndif.us) |
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| 263 | - Various open-weight models (check [ndif.us](https://ndif.us) for current list) |
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| 413 | - [Getting Started](https://nnsight.net/start/) |
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| 414 | - [Features Overview](https://nnsight.net/features/) |
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| 415 | - [Remote Execution](https://nnsight.net/notebooks/features/remote_execution/) |
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| 416 | - [Applied Tutorials](https://nnsight.net/applied_tutorials/) |
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| 419 | - [Official Docs](https://nnsight.net/documentation/) |
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| 420 | - [NDIF Info](https://ndif.us/) |
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| 421 | - [Community Forum](https://discuss.ndif.us/) |
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| 424 | - [NNsight and NDIF Paper](https://arxiv.org/abs/2407.14561) - Fiotto-Kaufman et al. (ICLR 2025) |
Scanned on Jun 8, 2026
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