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Dr. Sarah Chen
Assistant Professor
Marcus Rivera
PhD Candidate
Dr. Yuki Tanaka
Postdoc
Priya Patel
PhD Candidate
Dr. James Okafor
Research Scientist
Lin Wei Zhang
PhD Candidate
Dr. Anna Kowalski
Assistant Professor
David Nguyen
Masters Student
Every profile includes detailed bios, skills, publication history, code activity, novelty scores, and contact information.
Assistant Professor
38
h-index
29
i10-index
4,250
Citations
47
Papers
94
Novelty
Sarah Chen is an Assistant Professor at MIT CSAIL specializing in mechanistic interpretability of large language models. Her work on circuit-level analysis of transformer attention heads has been cited over 4,000 times. She leads the Interpretability Lab, developing open-source tools for neural network analysis. Previously a research scientist at Anthropic, she now focuses on scalable interpretability methods for frontier models.
MIT CSAIL, Center for AI Safety, EleutherAI (advisor)
34
Repos
2,800
Stars
1,240
Followers
1,847
Contributions
Sparse Feature Circuits in Large Language Models
NeurIPS 2025 · 2025
Automated Circuit Discovery via Causal Scrubbing
ICML 2025 · 2025
Attention Head Taxonomy: A Unified Framework
ICLR 2024 · 2024
Scaling Monosemanticity in Language Models
NeurIPS 2024 · 2024
Toward Comprehensive Mechanistic Interpretability
AAAI 2024 · 2024
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