---
title: "Atticus Geiger — author profile and papers · Reasoning"
description: "Atticus Geiger, Harvard University Press: 3 papers on Elamur Research (2019–2023), h-index 11 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/atticus-geiger/"
---
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# Atticus Geiger

Atticus Geiger has 3 papers in our library, in 2019–2023, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Christopher Potts](https://md.research.elamur.ai/free/en/authors/christopher-potts/), [Ignacio Cases](https://md.research.elamur.ai/free/en/authors/ignacio-cases/), [Kyle Richardson](https://md.research.elamur.ai/free/en/authors/kyle-richardson/).

3 papers in our library · 2019–2023

[OpenAlex](https://openalex.org/A5002577142) · [ORCID](https://orcid.org/0000-0002-9170-506X) · [**h-index 11**](https://openalex.org/authors/A5002577142) · [73 works](https://openalex.org/works?filter=author.id:A5002577142) · [554 citations](https://openalex.org/works?filter=author.id:A5002577142&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/atticus-geiger/#papers) · [🔗 Cited 400 times in our library](https://md.research.elamur.ai/free/en/authors/atticus-geiger/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4471](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4471)

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=Atticus+Geiger) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Atticus+Geiger) · [dblp](https://dblp.org/search?q=Atticus+Geiger) · [ACL Anthology](https://aclanthology.org/search/?q=Atticus+Geiger)

## Affiliations

[🔬**Harvard University Press** Cambridge · United States 2026 · 1 paper*current*](https://ror.org/006v7bf86) · [🎓**Stanford University** Stanford · United States 2019–2024 · 17 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7 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/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Statistics and Probability · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/statistics-and-probability/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/)

## Works by year

### 2020s

[**2023** 1 paper Atticus Geiger's papers of 2023](https://md.research.elamur.ai/free/en/papers/wu-2023-interpretability-scale-identifying-causal-mechanisms/) · [**2020** 1 paper Atticus Geiger's papers of 2020](https://md.research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/)

### 2010s

[**2019** 1 paper Atticus Geiger's papers of 2019](https://md.research.elamur.ai/free/en/papers/geiger-2019-posing-fair-generalization-tasks-natural/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation](https://md.research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/)** *(2020 · 112 citations)* The question is whether neural NLI models learn how negation reverses lexical entailment: "dance" entails "move", but "not move" does not entail "not dance".
2. **[Interpretability at Scale: Identifying Causal Mechanisms in Alpaca](https://md.research.elamur.ai/free/en/papers/wu-2023-interpretability-scale-identifying-causal-mechanisms/)** *(2023 · 70 citations)* Causal-abstraction methods test whether a neural network actually implements a human-readable algorithm, but until now they had only been applied to small, task-specific models.
3. **[Posing Fair Generalization Tasks for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/geiger-2019-posing-fair-generalization-tasks-natural/)** *(2019 · 58 citations)* Adversarial and synthetic test sets often show that NLI models with strong scores on naturalistic corpora break down on systematic cases.

## All works

10 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. [**Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation**Atticus Geiger, Kyle Richardson, Christopher Potts*English · 112 citations*](https://md.research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/)
2. **[Interpretability at Scale: Identifying Causal Mechanisms in Alpaca](https://md.research.elamur.ai/free/en/papers/wu-2023-interpretability-scale-identifying-causal-mechanisms/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.*2023 · 70 citations*
3. **[ReFT: Representation Finetuning for Language Models ↗](https://arxiv.org/abs/2404.03592) arXiv:2404.03592 · no summary yet**Zhengxuan Wu et al.*2024 · 66 citations*
4. **[Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations ↗](https://arxiv.org/abs/2303.02536) arXiv:2303.02536 · no summary yet**Atticus Geiger et al.*2023 · 66 citations*
5. **[Linear Representations of Sentiment in Large Language Models ↗](https://arxiv.org/abs/2310.15154) arXiv:2310.15154 · no summary yet**Curt Tigges et al.*2023 · 62 citations*
6. **[Posing Fair Generalization Tasks for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/geiger-2019-posing-fair-generalization-tasks-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Atticus Geiger, Ignacio Cases, Lauri Karttunen, et al.*2019 · 58 citations*
7. **[AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders ↗](https://arxiv.org/abs/2501.17148) arXiv:2501.17148 · no summary yet**Zhengxuan Wu et al.*2025 · 51 citations*
8. **[Rigorously Assessing Natural Language Explanations of Neurons ↗](https://aclanthology.org/2023.blackboxnlp-1.24/) Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP · no summary yet**Jing Huang et al.*2023 · 26 citations*
9. **[Enhancing Automated Interpretability with Output-Centric Feature Descriptions ↗](https://aclanthology.org/2025.acl-long.288/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yoav Gur-Arieh et al.*2025 · 13 citations*
10. **[Constructing Interpretable Features from Compositional Neuron Groups ↗](https://aclanthology.org/2026.acl-long.1959/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Or David Shafran, Atticus Geiger, Mor Geva*2026 · 1 citation*

## Co-authors here

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

- [Christopher Potts](https://md.research.elamur.ai/free/en/authors/christopher-potts/) ×3
- [Ignacio Cases](https://md.research.elamur.ai/free/en/authors/ignacio-cases/)
- [Kyle Richardson](https://md.research.elamur.ai/free/en/authors/kyle-richardson/)
- [Lauri Karttunen](https://md.research.elamur.ai/free/en/authors/lauri-karttunen/)
- [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2
- [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/): [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2020](https://md.research.elamur.ai/free/en/venues/blackboxnlp/2020/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)
- Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

## Cited by

Papers of our library cite their works 400 times (of the 141,840 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/atticus-geiger/cited-by/).

Updated 24 October 2026
