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TopicsMechanistic Interpretability Latent Knowledge in Language Models Shortcut Learning

Sparse autoencoder probing scores can be inflated by chance correlations in large latent dictionaries.

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Together, these findings indicate that sparse probing scores can be inflated by dictionary scale alone: with tens of thousands of latents, some will inevitably correlate with concept clusters by chance, limiting its value as a standalone indicator of meaningful feature learning.

Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?conference paperextraction 0.80

Korznikov, Anton et al. · arXiv.org · Feb 15, 2026 · original

Interpretation of frozen-baseline sparse probing results

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