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Wes Gurnee
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Year
Language models represent space and time
W Gurnee, M Tegmark
ICLR 2024, 2023
542023
Finding Neurons in a Haystack: Case Studies with Sparse Probing
W Gurnee, N Nanda, M Pauly, K Harvey, D Troitskii, D Bertsimas
Transactions of Machine Learning Research (TMLR), 2023
452023
Fairmandering: A column generation heuristic for fairness-optimized political districting
W Gurnee, DB Shmoys
SIAM Conference on Applied and Computational Discrete Algorithms (ACDA21), 88-99, 2021
312021
Learning sparse nonlinear dynamics via mixed-integer optimization
D Bertsimas, W Gurnee
Nonlinear Dynamics 111 (7), 6585-6604, 2023
222023
Combatting gerrymandering with social choice: The design of multi-member districts
N Garg, W Gurnee, D Rothschild, D Shmoys
Proceedings of the 23rd ACM Conference on Economics and Computation, 560-561, 2022
82022
Universal neurons in gpt2 language models
W Gurnee, T Horsley, ZC Guo, TR Kheirkhah, Q Sun, W Hathaway, ...
arXiv preprint arXiv:2401.12181, 2024
32024
Training Dynamics of Contextual N-Grams in Language Models
L Quirke, L Heindrich, W Gurnee, N Nanda
NeurIPS 2023 Workshop on Attributing Model Behavior at Scale, 2023
22023
Scalable approximations of capacitated k-medians for political districting
W Gurnee
Technical report, Cornell University, Ithaca, United States, 2020
12020
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Articles 1–8