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Samuel Marks

Samuel Marks has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Interpretability; often with Aaron Mueller, Arnab Sen Sharma, David Bau.

2 papers in our library · 2023–2026

OpenAlex · h-index 2 · 9 works · 24 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 156 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5912

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workInterpretability · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets (2023 · 169 citations)
    LLMs sometimes state things that are false even when they seem to "know" better. Earlier attempts to detect truthfulness by probing internal activations generalized poorly, which raised doubts about whether those probes found truth or only features that correlate with it. Marks and Tegmark study this question in…
  2. The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation Analysis (2026 · 7 citations)
    Research on mechanistic interpretability (MI) of language models is fragmented. Studies use bespoke evaluations, lack a shared theoretical basis, and rarely define the elementary causal units that make up a "mechanism." This survey, published in Computational Linguistics, treats MI as recovering causal graphs that…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False DatasetsarXiv:2310.06824Samuel Marks, Max Tegmark2023 · 169 citations
  2. The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation AnalysisComputational LinguisticsAaron Mueller, Jannik Brinkmann, Millicent Li, et al.2026 · 7 citations
  3. Unsupervised Elicitation of Language Models ↗arXiv (Cornell University) · no summary yetJiaxin Wen et al.2025 · 2 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 156 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/samuel-marks/