3 papers
cs.AI2026
Fluid Reasoning Representations
Dmitrii Kharlapenko, Alessandro Stolfo, Terry Jingchen Zhang +4
Frontier large language models increasingly solve complex tasks involving abstract concepts through extended test-time thinking. Yet we lack a mechanistic account of how extended t…
cs.LG2025
Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning
Stepan Shabalin, Ayush Panda, Dmitrii Kharlapenko +3
Sparse autoencoders are a promising new approach for decomposing language model activations for interpretation and control. They have been applied successfully to vision transforme…
cs.LG2025
Scaling sparse feature circuit finding for in-context learning
Dmitrii Kharlapenko, Stepan Shabalin, Fazl Barez +2
Sparse autoencoders (SAEs) are a popular tool for interpreting large language model activations, but their utility in addressing open questions in interpretability remains unclear.…