Author

M. Fomin

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Jul 2026

Unsupervised Features Mining via Activation Geometry

The same method is used to select the best training datasets for prompt-injection classifier probes: while similarity between ordinary activations is almost unrelated to downstream performance, RFD-based similarity achieves Top-1 and Top-2 accuracy.

Amit Levi, Elad David, M. Fomin · arXiv.org · 0 citations

Preprint Jul 2026

Context Is King: How In-Context Specification Shapes the Geometry of Concepts

This work shows that context is king: the structure a model actually uses is set by the in-context specification, and whether the model builds this geometry anew or reconfigures a stored one the authors leave open is the one the context specifies.

Elad David, M. Fomin · 0 citations