---
title: "Neel Nanda — papers of 2023 — 6 papers, the most cited first"
description: "Neel Nanda — papers of 2023: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Neel Nanda — papers of 2023 — 6 papers, the most cited first

6 papers · [all years of Neel Nanda](https://md.research.elamur.ai/free/en/authors/neel-nanda/#years)

- [Progress measures for grokking via mechanistic interpretability arXiv:2301.05217](https://md.research.elamur.ai/free/en/papers/nanda-2023-progress-measures-grokking-mechanistic-interpretability/) — Neel Nanda, Lawrence Chan, Tom Lieberum, et al. · 2023 · 228 citations
- [Finding Neurons in a Haystack: Case Studies with Sparse Probing arXiv:2305.01610](https://md.research.elamur.ai/free/en/papers/gurnee-2023-finding-neurons-haystack-case-studies/) — Wes Gurnee, Neel Nanda, Matthew Pauly, et al. · 2023 · 123 citations
- [Emergent Linear Representations in World Models of Self-Supervised Sequence Models arXiv:2309.00941](https://md.research.elamur.ai/free/en/papers/nanda-2023-emergent-linear-representations-world-models/) — Neel Nanda, Andrew Lee, Martin Wattenberg · 2023 · 116 citations
- [Towards Best Practices of Activation Patching in Language Models: Metrics and Methods arXiv:2309.16042](https://md.research.elamur.ai/free/en/papers/zhang-2023-towards-best-practices-activation-patching/) — Fred Zhang, Neel Nanda · 2023 · 97 citations
- [Linear Representations of Sentiment in Large Language Models arXiv:2310.15154](https://md.research.elamur.ai/free/en/papers/tigges-2023-linear-representations-sentiment-large-language/) — Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, et al. · 2023 · 64 citations
- [Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla arXiv:2307.09458](https://md.research.elamur.ai/free/en/papers/lieberum-2023-circuit-analysis-interpretability-scale-evidence/) — Tom Lieberum, Matthew Rahtz, Janos Kramar, et al. · 2023 · 58 citations