Jacob Dunefsky

According to our database, Jacob Dunefsky authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Investigating Generalization of One-shot LLM Steering Vectors.

Jacob Dunefsky, Arman Cohan

CoRR, February, 2025

2024

Transcoders find interpretable LLM feature circuits.

Jacob Dunefsky, Philippe Chlenski, Neel Nanda

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Observable Propagation: Uncovering Feature Vectors in Transformers.

Jacob Dunefsky, Arman Cohan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Observable Propagation: A Data-Efficient Approach to Uncover Feature Vectors in Transformers.

Jacob Dunefsky, Arman Cohan

CoRR, 2023

2022

Transport control networking: optimizing efficiency and control of data transport for data-intensive networks.

Jacob Dunefsky, Mahdi Soleimani, Ryan Yang, Jordi Ros-Giralt, Mario Lassnig, Inder Monga, Frank K. Würthwein, Jingxuan Zhang, Kai Gao, Y. Richard Yang

Proceedings of the NAI '22: Proceedings of the ACM SIGCOMM Workshop on Network-Application Integration, 2022

2020

Analysis of neural clusters due to deep brain stimulation pulses.

Daniel Kuelbs, Jacob Dunefsky, Bharat Monga, Jeff Moehlis

Biol. Cybern., 2020