Kuleen Sasse — accepted AI-conference papers

2025

Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats

Kuleen Sasse, Carlos Alejandro Aguirre, Isabel Cachola, Sharon Levy, Mark Dredze

ACL 2025long

Dog whistles are coded expressions with dual meanings: one intended for the general public (outgroup) and another that conveys a specific message to an intended audience (ingroup). Often, these expressions are used to convey controversial political opinions while maintaining plausible deniability an…

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2025

Sparse Autoencoder Features for Classifications and Transferability

Jack Gallifant, Shan Chen, Kuleen Sasse, Hugo Aerts, Thomas Hartvigsen, Danielle Bitterman

EMNLP 2025

Sparse Autoencoders (SAEs) provide potential for uncovering structured, human-interpretable representations in Large Language Models (LLMs), making them a crucial tool for transparent and controllable AI systems. We systematically analyze SAE for interpretable feature extraction from LLMs in safety-

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