Auditable AI Text Detectors Using Sparse Autoencoders

This pipeline converts opaque fine-tuned neural detectors into interpretable classifiers by training sparse autoencoders on the detector's residual stream. It extracts human-readable concepts to provide transparency in high-stakes text detection settings.