Philine Lou Bommer — accepted AI-conference papers

2025

Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework

Laura Kopf, Nils Feldhus, Kirill Bykov, Philine Lou Bommer, Anna Hedström, Marina MC Höhne +1

NeurIPS 2025poster

Automated interpretability research aims to identify concepts encoded in neural network features to enhance human understanding of model behavior. Within the context of large language models (LLMs) for natural language processing (NLP), current automated neuron-level feature description methods face…

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2024

CoSy: Evaluating Textual Explanations of Neurons

Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina MC Höhne, Kirill Bykov

NeurIPS 2024poster

A crucial aspect of understanding the complex nature of Deep Neural Networks (DNNs) is the ability to explain learned concepts within their latent representations. While methods exist to connect neurons to human-understandable textual descriptions, evaluating the quality of these explanations is cha…

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