Author

Ilham Wicaksono

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#machine learning Jul 2026

Are Single-Token Sparse Autoencoder Features Causally Necessary? Layer-Depth and SAE-Family Effects

This work analyzesparse autoencoder features across six models and three SAE families and zero-ablate at full layer depth, finding cross-family claims are sensitive to training methodology, not just activation function or scale.

Seonglae Cho, Zekun Wu, Kleyton Da Costa et al. · arXiv.org · 1 citation

Preprint Aug 2026

Automata from Agent Traces: Failure and Next-Step Prediction

Behavioral topology is shaped more by the deployment harness than by the LLM, providing a model-agnostic structural primitive for safety auditing and runtime monitoring, and addresses both prediction goals.

Seonglae Cho, F. Fernandez, Umar Mohammed et al. · 3 citations