# Mechanistic Interpretability: Research Digest

> Literature digest: Mechanistic interpretability in neural networks Mechanistic interpretability aims to reverse‑engineer neural networks into human‑understandable…

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- **Updated:** 2026-06-23
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## Key data

- **Papers:** 10
- **Field:** mechanistic interpretability neural networks
- **Updated:** 2026-06-23

# Literature digest: Mechanistic interpretability in neural networks

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## Sources

1. [Mechanistic interpretability for AI safety--a review](https://arxiv.org/abs/2404.14082)
2. [Bridging the black box: a survey on mechanistic interpretability in AI](https://dl.acm.org/doi/abs/10.1145/3787104)
3. [Towards automated circuit discovery for mechanistic interpretability](https://proceedings.neurips.cc/paper_files/paper/2023/hash/34e1dbe95d34d7ebaf99b9bcaeb5b2be-Abstract-Conference.html)
4. [Open problems in mechanistic interpretability](https://arxiv.org/abs/2501.16496)
5. [Exploring mechanistic interpretability in large language models: Challenges, approaches, and insights](https://ieeexplore.ieee.org/abstract/document/11011640/)
6. [Progress measures for grokking via mechanistic interpretability](https://arxiv.org/abs/2301.05217)
7. [Causal abstraction: A theoretical foundation for mechanistic interpretability](http://www.jmlr.org/papers/v26/23-0058.html)
8. [Seeing is believing: Brain-inspired modular training for mechanistic interpretability](https://www.mdpi.com/1099-4300/26/1/41)

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