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A benchmark for evaluating Sparse Autoencoders (SAEs) on Vision Transformers
pip install visaebench
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.6>=4.36>=1.0>=1.3>=0.20>=2.14visaebench publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .