Jesse Hoogland

According to our database, Jesse Hoogland authored at least 7 papers between 2024 and 2025.

Collaborative distances:

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

2025

From Global to Local: A Scalable Benchmark for Local Posterior Sampling.

Rohan Hitchcock, Jesse Hoogland

CoRR, July, 2025

Studying Small Language Models with Susceptibilities.

Garrett Baker, George Wang, Jesse Hoogland, Daniel Murfet

CoRR, April, 2025

You Are What You Eat - AI Alignment Requires Understanding How Data Shapes Structure and Generalisation.

Simon Pepin Lehalleur, Jesse Hoogland, Matthew Farrugia-Roberts, Susan Wei, Alexander Gietelink Oldenziel, George Wang, Liam Carroll, Daniel Murfet

CoRR, February, 2025

Dynamics of Transient Structure in In-Context Linear Regression Transformers.

Liam Carroll, Jesse Hoogland, Matthew Farrugia-Roberts, Daniel Murfet

CoRR, January, 2025

Open Problems in Mechanistic Interpretability.

Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeff Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, Eric J. Michaud, Stephen Casper, Max Tegmark, William Saunders, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath

CoRR, January, 2025

Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient.

George Wang, Jesse Hoogland, Stan van Wingerden, Zach Furman, Daniel Murfet

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

The Developmental Landscape of In-Context Learning.

Jesse Hoogland, George Wang, Matthew Farrugia-Roberts, Liam Carroll, Susan Wei, Daniel Murfet

CoRR, 2024