3 papers
cs.LG2026
DreamReader: An Interpretability Toolkit for Text-to-Image Models
Nirmalendu Prakash, Narmeen Oozeer, Michael Lan +6
Despite the rapid adoption of text-to-image (T2I) diffusion models, causal and representation-level analysis remains fragmented and largely limited to isolated probing techniques.…
cs.LG2025
Distribution-Aware Feature Selection for SAEs
Narmeen Oozeer, Nirmalendu Prakash, Michael Lan +2
Sparse autoencoders (SAEs) decompose neural activations into interpretable features. A widely adopted variant, the TopK SAE, reconstructs each token from its K most active latents.…
cs.AI2025
Activation Space Interventions Can Be Transferred Between Large Language Models
Narmeen Oozeer, Dhruv Nathawani, Nirmalendu Prakash +3
The study of representation universality in AI models reveals growing convergence across domains, modalities, and architectures. However, the practical applications of representati…