Leveraging Natural Language Processing for a Consistency Checking Toolchain of Automotive Requirements. - Vincent Bertram; Hendrik Kausch; Evgeny Kusmenko; Haron Nqiri; Bernhard Rumpe; Constantin Venhoff (RE, 2023)

SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencoders. - Constantin Venhoff; Anisoara Calinescu; Philip Torr 001; Christian Schröder de Witt (CoRR, 2024)

Mixture of Experts Made Intrinsically Interpretable. - Xingyi Yang; Constantin Venhoff; Ashkan Khakzar; Christian Schröder de Witt; Puneet K. Dokania; Adel Bibi; Philip Torr 001 (CoRR, 2025)

How Visual Representations Map to Language Feature Space in Multimodal LLMs. - Constantin Venhoff; Ashkan Khakzar; Sonia Joseph; Philip Torr 001; Neel Nanda (CoRR, 2025)

Understanding Reasoning in Thinking Language Models via Steering Vectors. - Constantin Venhoff; Iván Arcuschin; Philip Torr 001; Arthur Conmy; Neel Nanda (CoRR, 2025)

Reasoning-Finetuning Repurposes Latent Representations in Base Models. - Jake Ward; Chuqiao Lin; Constantin Venhoff; Neel Nanda (CoRR, 2025)

Towards Mechanistic Defenses Against Typographic Attacks in CLIP. - Lorenz Hufe; Constantin Venhoff; Maximilian Dreyer; Sebastian Lapuschkin; Wojciech Samek (CoRR, 2025)

Base Models Know How to Reason, Thinking Models Learn When. - Constantin Venhoff; Iván Arcuschin; Philip Torr 001; Arthur Conmy; Neel Nanda (CoRR, 2025)