Andrew Lee
Andrew Lee has 3 papers in our library, in 2023–2026, most of them on Interpretability, Bias, fairness & safety; often with Martin Wattenberg, Aaron Mueller, Ekdeep Singh Lubana.
OpenAlex · ORCID · h-index 4 · 17 works · 879 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 2,370 times in our library · ⭐ Paper Stars ranking: #6689
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Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Interpretability · 3 worksBias, fairness & safety · 1 work
Works by year
2020s
Papers
- Emergent Linear Representations in World Models of Self-Supervised Sequence Models (2023 · 116 citations)
This paper asks whether the board-state "world model" learned by OthelloGPT is encoded linearly. Li et al. (2023a) found that only non-linear probes could read it. The authors argue that the model does not track absolute tile colours (BLACK/WHITE/EMPTY). Instead, it tracks colours relative to whoever is moving at the… - A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity (2024 · 64 citations)
Alignment methods based on preference tuning are now routinely used to make language models safer. However, it is unclear what actually changes inside a model when it becomes "aligned", and so jailbreaks remain poorly explained. This paper uses toxicity reduction with direct preference optimization (DPO) in… - From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts? (2026)
Interpretability research usually judges featurizers such as sparse autoencoders (SAEs) and probes one concept at a time, implicitly assuming that concepts are independent.
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