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Aaron Mueller

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#artificial intelligence Preprint Sep 2026

MAxBench: A Multinomial Concept Recovery Benchmark

Fine-grained control of language model behaviors (e.g., steering) is among the more actionable outcomes of interpretability research. For binary concepts such as refusal, a single direction in activation space often suffices for steering. However, many concepts are not binary: Animals and Countries contain many subcate...

Divya Appapogu, Freya Behrens, Yonatan Belinkov et al. · 0 citations
#artificial intelligence Preprint Sep 2026

The Interlingua Hypothesis: LLMs Translate via a Latent Task-agnostic Feature Space

Three lines of evidence are shown that provide convergent evidence in support of the interlingua hypothesis, which holds that language models translate by reading a source sentence into a latent feature space, and generate a target sentence by reading from the latent feature space.

Jacob Brinton, Jannik Brinkmann, Mark Crovella et al. · 0 citations

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