Author

Fanny Jourdan

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#artificial intelligence Preprint Sep 2026

Neuralyzing the Trace: Selective Representation-Level Unlearning with Contrastive Sparse Autoencoders

This work introduces SCALPEL, a contrastive sparse autoencoder designed to learn more selective forget features and shows theoretically that contrastive training promotes target-selective features and that the selection score controls expected background knowledge perturbation.

Itai Zehavi, Fanny Jourdan, Ulrich Aivodji · 0 citations

#machine learning Preprint Sep 2026

Limitations of Automated Simulatability: LLM Simulators Can Bypass Explanations

This work qualitatively replicate and extend ConSim's ranking of explanation methods across the tested datasets, explanation families, and simulator LLMs, and identifies two limitations: when class names are meaningful, simulators can obtain high simulatability by solving the classification task directly, without relyi...

Antonin Poché, Fanny Jourdan, Nils Feldhus et al. · 0 citations