---
title: "Who cites Copy Suppression: — 23 citing papers"
description: "23 papers of the Elamur Research library cite «Copy Suppression: Comprehensively Understanding an Attention Head», found in their…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Copy Suppression: Comprehensively Understanding…](https://md.research.elamur.ai/free/en/papers/mcdougall-2023-copy-suppression-comprehensively-understanding-attention/) / cited by

# Who cites «Copy Suppression: Comprehensively Understanding an Attention Head»

23 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Copy Suppression: Comprehensively Understanding an Attention Head»](https://md.research.elamur.ai/free/en/papers/mcdougall-2023-copy-suppression-comprehensively-understanding-attention/)

1. [**Mechanistic Interpretability for AI Safety — A Review arXiv:2404.14082**Leonard Bereska, Efstratios Gavves*2024 · 108 citations*](https://md.research.elamur.ai/free/en/papers/bereska-2024-mechanistic-interpretability-ai-safety-review/)
2. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/)
3. [**A Primer on the Inner Workings of Transformer-based Language Models arXiv:2405.00208**Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ferrando-2024-primer-inner-workings-transformer-based/)
4. [**A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models arXiv:2407.02646**Daking Rai, Yilun Zhou, Shi Feng, et al.*2024 · 58 citations*](https://md.research.elamur.ai/free/en/papers/rai-2024-practical-review-mechanistic-interpretability-transformer/)
5. [**Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics arXiv:2410.21272**Yaniv Nikankin, Anja Reusch, Aaron Mueller, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/nikankin-2024-arithmetic-algorithms-language-models-solve/)
6. [**Successor Heads: Recurring, Interpretable Attention Heads In The Wild arXiv:2312.09230**Rhys Gould, Euan Ong, George Ogden, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/gould-2023-successor-heads-recurring-interpretable-attention/)
7. [**AtP*: An efficient and scalable method for localizing LLM behaviour to components arXiv:2403.00745**Janos Kramar, Tom Lieberum, Rohin Shah, et al.*2024 · 32 citations*](https://md.research.elamur.ai/free/en/papers/kramar-2024-atp-efficient-scalable-method-localizing/)
8. **[Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals](https://md.research.elamur.ai/free/en/papers/ortu-2024-competition-mechanisms-tracing-how-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Francesco Ortu, Zhijing Jin, Diego Doimo, et al.*2024 · 23 citations*

15 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/mcdougall-2023-copy-suppression-comprehensively-understanding-attention/) — Copy Suppression: Comprehensively Understanding an Attention Head