---
title: "Tom Henighan — papers of 2022 — 3 papers, the most cited first"
description: "Tom Henighan — papers of 2022: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Tom Henighan — papers of 2022 — 3 papers, the most cited first

3 papers · [all years of Tom Henighan](https://md.research.elamur.ai/free/en/authors/tom-henighan/#years)

- [In-context Learning and Induction Heads arXiv:2209.11895](https://md.research.elamur.ai/free/en/papers/olsson-2022-context-learning-induction-heads/) — Catherine Olsson, Nelson Elhage, Neel Nanda, et al. · 2022 · 475 citations

**[Predictability and Surprise in Large Generative Models](https://md.research.elamur.ai/free/en/papers/ganguli-2022-predictability-surprise-large-generative-models/) [ACM Conference on Fairness, Accountability, and Transparency (FAccT)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/)**Deep Ganguli, Danny Hernandez, Liane Lovitt, et al.*2022 · 268 citations*

- [Scaling Laws and Interpretability of Learning from Repeated Data arXiv:2205.10487](https://md.research.elamur.ai/free/en/papers/hernandez-2022-scaling-laws-interpretability-learning-repeated/) — Danny Hernandez, Tom Brown, Tom Conerly, et al. · 2022 · 91 citations