3 papers
cs.LG2026
Probing for Representation Manifolds in Superposition
Alexander Modell
This paper introduces the Manifold Probe, a supervised method for discovering representation manifolds in superposition. The method generalizes linear regression probes by learning…
stat.ME2025
Spectral embedding and the latent geometry of multipartite networks
Alexander Modell, Ian Gallagher, Joshua Cape +1
Spectral embedding finds vector representations of the nodes of a network, based on the eigenvectors of a properly constructed matrix, and has found applications throughout science…
cs.LG2025
The Origins of Representation Manifolds in Large Language Models
Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
There is a large ongoing scientific effort in mechanistic interpretability to map embeddings and internal representations of AI systems into human-understandable concepts. A key el…