---
title: "Who cites Does Circuit Analysis — 45 citing papers"
description: "45 papers of the Elamur Research library cite «Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in…"
canonical: "https://research.elamur.ai/free/en/papers/lieberum-2023-circuit-analysis-interpretability-scale-evidence/cited-by/"
---
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# Who cites «Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla»

45 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla»](https://md.research.elamur.ai/free/en/papers/lieberum-2023-circuit-analysis-interpretability-scale-evidence/)

1. **[Explainability for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Haiyan Zhao, Hanjie Chen, Fan Yang, et al.*2023 · 785 citations*
2. [**Representation Engineering: A Top-Down Approach to AI Transparency arXiv:2310.01405**Andy Zou, Long Phan, Sarah Chen, et al.*2023 · 386 citations*](https://md.research.elamur.ai/free/en/papers/zou-2023-representation-engineering-top-down-approach/)
3. [**The Quantization Model of Neural Scaling arXiv:2303.13506**Eric J. Michaud, Ziming Liu, Uzay Girit, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/michaud-2023-quantization-model-neural-scaling/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/lieberum-2023-circuit-analysis-interpretability-scale-evidence/) — Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla