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Marius Hobbhahn

14 papers hereh-index 131k citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author8

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL4
  • cs.LG3
  • cs.CY2
  • cs.CR1
same name
  • Marius Hobbhahn — 6 papers, h 7
  • Marius Hobbhahn — 3 papers, h 2
  • Marius Hobbhahn — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedBlack-Box Access is Insufficient for Rigorous AI Audits

72 citations · 112 across the 14 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2025★ 1 cited

Detecting Strategic Deception Using Linear Probes

Nicholas Goldowsky-Dill, Bilal Chughtai, Stefan Heimersheim +1

AI models might use deceptive strategies as part of scheming or misaligned behaviour. Monitoring outputs alone is insufficient, since the AI might produce seemingly benign outputs…

cs.LG2024

The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks

Lucius Bushnaq, Stefan Heimersheim, Nicholas Goldowsky-Dill +7

Mechanistic interpretability aims to understand the behavior of neural networks by reverse-engineering their internal computations. However, current methods struggle to find clear…

cs.LG2024

Using Degeneracy in the Loss Landscape for Mechanistic Interpretability

Lucius Bushnaq, Jake Mendel, Stefan Heimersheim +5

Mechanistic Interpretability aims to reverse engineer the algorithms implemented by neural networks by studying their weights and activations. An obstacle to reverse engineering ne…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.