---
title: "Matthew Rahtz — author profile and papers — Elamur Research"
description: "Matthew Rahtz: 3 papers on Elamur Research (2023–2024), h-index 7 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/matthew-rahtz/"
---
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# Matthew Rahtz

Matthew Rahtz has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Janos Kramar](https://md.research.elamur.ai/free/en/authors/janos-kramar/), [Tom Lieberum](https://md.research.elamur.ai/free/en/authors/tom-lieberum/), [Vladimir Mikulik](https://md.research.elamur.ai/free/en/authors/vladimir-mikulik/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5045163381) · [**h-index 7**](https://openalex.org/authors/A5045163381) · [14 works](https://openalex.org/works?filter=author.id:A5045163381) · [2,335 citations](https://openalex.org/works?filter=author.id:A5045163381&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/matthew-rahtz/#papers) · [🔗 Cited 3,507 times in our library](https://md.research.elamur.ai/free/en/authors/matthew-rahtz/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7554](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7554)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Matthew+Rahtz) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Matthew+Rahtz) · [dblp](https://dblp.org/search?q=Matthew+Rahtz) · [ACL Anthology](https://aclanthology.org/search/?q=Matthew+Rahtz)

## Affiliations

[🎓**ETH Zurich** Zurich · Switzerland 2017–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Safety, Risk, Reliability and Quality · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/safety-risk-reliability-and-quality/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 3 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/matthew-rahtz/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/matthew-rahtz/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[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/)** *(2023 · 58 citations)* Circuit analysis has mostly been demonstrated on small networks, such as two-layer attention-only transformers or the 117M GPT-2.
2. **[The Hydra Effect: Emergent Self-repair in Language Model Computations](https://md.research.elamur.ai/free/en/papers/mcgrath-2023-hydra-effect-emergent-self-repair/)** *(2023 · 49 citations)* The paper asks how far ablation can be trusted for working out which parts of a large language model drive its predictions.
3. **[Evaluating Frontier Models for Dangerous Capabilities](https://md.research.elamur.ai/free/en/papers/phuong-2024-evaluating-frontier-models-dangerous-capabilities/)** *(2024 · 36 citations)* Popular benchmarks measure broad skills such as coding or maths, and most safety tests check whether a model refuses harmful requests.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Gemma 2: Improving Open Language Models at a Practical Size ↗](https://arxiv.org/abs/2408.00118) arXiv:2408.00118 · no summary yet**Gemma Team et al.*2024 · 1,302 citations*
2. [**Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla arXiv:2307.09458**Tom Lieberum, Matthew Rahtz, Janos Kramar, et al.*2023 · 58 citations*](https://md.research.elamur.ai/free/en/papers/lieberum-2023-circuit-analysis-interpretability-scale-evidence/)
3. [**The Hydra Effect: Emergent Self-repair in Language Model Computations arXiv:2307.15771**Thomas McGrath, Matthew Rahtz, Janos Kramar, et al.*2023 · 49 citations*](https://md.research.elamur.ai/free/en/papers/mcgrath-2023-hydra-effect-emergent-self-repair/)
4. [**Evaluating Frontier Models for Dangerous Capabilities arXiv:2403.13793**Mary Phuong, Matthew Aitchison, Elliot Catt, et al.*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/phuong-2024-evaluating-frontier-models-dangerous-capabilities/)

## Co-authors here

12 co-authors with a page, the most papers together first.

- [Janos Kramar](https://md.research.elamur.ai/free/en/authors/janos-kramar/) ×2
- [Tom Lieberum](https://md.research.elamur.ai/free/en/authors/tom-lieberum/) ×2
- [Vladimir Mikulik](https://md.research.elamur.ai/free/en/authors/vladimir-mikulik/) ×2
- [Elliot Catt](https://md.research.elamur.ai/free/en/authors/elliot-catt/)
- [Geoffrey Irving](https://md.research.elamur.ai/free/en/authors/geoffrey-irving/)
- [Mary Phuong](https://md.research.elamur.ai/free/en/authors/mary-phuong/)
- [Matthew Aitchison](https://md.research.elamur.ai/free/en/authors/matthew-aitchison/)
- [Neel Nanda](https://md.research.elamur.ai/free/en/authors/neel-nanda/)
- [Rohin Shah](https://md.research.elamur.ai/free/en/authors/rohin-shah/)
- [Shane Legg](https://md.research.elamur.ai/free/en/authors/shane-legg/)
- [Thomas McGrath](https://md.research.elamur.ai/free/en/authors/thomas-mcgrath/)
- [Yannis Assael](https://md.research.elamur.ai/free/en/authors/yannis-assael/)

## Cited by

Papers of our library cite their works 3,507 times (of the 149,439 papers whose bibliographies we read); [897 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/matthew-rahtz/cited-by/).

Updated 3 November 2026
