Author

Atticus Geiger

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#natural language process... Feb 2026

From Directions to Regions: Decomposing Activations in Language Models via Local Geometry

This work leverage Mixture of Factor Analyzers (MFA) as a scalable, unsupervised alternative that models the activation space as a collection of Gaussian regions with their local covariance structure, and positions local geometry, expressed through subspaces, as a promising unit of analysis for scalable concept discove...

Or Shafran, S. Ronen, Omri Fahn et al. · arXiv.org · 10 citations · ⚡2

#machine learning Preprint Sep 2026

Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations

This work finds that simple difference of means vectors coherently represent reward hacking in Kimi K3, GLM 5.2, and Qwen 3.8 Max, and provides evidence that simple, white-box methods can be used to scalably study and monitor reward hacking behaviors in frontier open source models.

Leon Bergen, Usha Bhalla, Andrew Lee et al. · 0 citations

Preprint Aug 2026

Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation

It is shown that when resampling many reasoning chains, uncertainty dynamics converge to stable patterns, and noise is largely an artifact of sampling rather than an LLM's sensitivity to each individual token or reasoning step.

Eric J. Bigelow, Amir Zur, Satchel Grant et al. · 2 citations