Neural Geometry in Vision Models with Block-Sparse Featurizers
Block-Sparse Featurizersneural geometryvision modelsmultidimensional subspacesconcept manifoldsfeaturizersinterpretabilitymachine learningdeep learningcomputer visionneural networks
Author: babelfish
Date: 7/7/2026
Article Summary:
Researchers introduce Block-Sparse Featurizers (BSFs), a family of methods to decompose model activations into multidimensional subspaces, improving the understanding of neural networks and enabling fine-grained steering.