The Developmental Landscape of In-Context Learning. - Jesse Hoogland; George Wang; Matthew Farrugia-Roberts; Liam Carroll; Susan Wei; Daniel Murfet (CoRR, 2024)

Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient. - George Wang; Jesse Hoogland; Stan van Wingerden; Zach Furman; Daniel Murfet (ICLR, 2025)

Loss Landscape Degeneracy and Stagewise Development in Transformers. - Jesse Hoogland; George Wang; Matthew Farrugia-Roberts; Liam Carroll; Susan Wei; Daniel Murfet (Trans. Mach. Learn. Res., 2025)

Open Problems in Mechanistic Interpretability. - Lee Sharkey; Bilal Chughtai; Joshua Batson; Jack Lindsey; Jeff Wu 003; Lucius Bushnaq; Nicholas Goldowsky-Dill; Stefan Heimersheim; Alejandro Ortega; Joseph Isaac Bloom; Stella Biderman; Adrià Garriga-Alonso; et al. (CoRR, 2025)

Dynamics of Transient Structure in In-Context Linear Regression Transformers. - Liam Carroll; Jesse Hoogland; Matthew Farrugia-Roberts; Daniel Murfet (CoRR, 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, 2025)

Studying Small Language Models with Susceptibilities. - Garrett Baker; George Wang; Jesse Hoogland; Daniel Murfet (CoRR, 2025)

From Global to Local: A Scalable Benchmark for Local Posterior Sampling. - Rohan Hitchcock; Jesse Hoogland (CoRR, 2025)