Interpretability as Compression: Reconsidering SAE Explanations of Neural Activations with MDL-SAEs. - Kola Ayonrinde; Michael T. Pearce; Lee Sharkey (CoRR, 2024)

Adaptive Sparse Allocation with Mutual Choice & Feature Choice Sparse Autoencoders. - Kola Ayonrinde (CoRR, 2024)

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. - Adam Karvonen; Can Rager; Johnny Lin; Curt Tigges; Joseph Isaac Bloom; David Chanin; Yeu-Tong Lau; Eoin Farrell; Callum McDougall; Kola Ayonrinde; Matthew Wearden; Arthur Conmy; et al. (CoRR, 2025)

A Mathematical Philosophy of Explanations in Mechanistic Interpretability - The Strange Science Part I.i. - Kola Ayonrinde; Louis Jaburi (CoRR, 2025)

Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability - The Strange Science Part I.ii. - Kola Ayonrinde; Louis Jaburi (CoRR, 2025)