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Emotion vectors found in open-source LLMs Apertus and Gemma

By PulseAugur Editorial · [2 sources] ·

A new arXiv paper investigates the presence and emergence of emotion vectors in open-source large language models, building on prior work that identified these representations in Claude Sonnet 4.5. Researchers tested Apertus-8B-Instruct-2509 and Gemma-4-E4B-it, finding that both models exhibit valence geometry, though its representation varies across model depth. Arousal encoding was found to be sensitive to the corpus used for extraction, with Gemma-generated stories showing stronger alignment. AI

IMPACT This research could lead to a deeper understanding of how LLMs process and represent emotions, potentially influencing future model development and alignment strategies.

RANK_REASON The cluster contains an academic paper published on arXiv detailing research findings about LLM internal representations.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Emotion vectors found in open-source LLMs Apertus and Gemma

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The cluster contains an academic paper published on arXiv detailing research findings about LLM internal representations.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sinie van der Ben, Rapha\"el Baur, Yannick Metz, Mennatallah El-Assady ·

    Where Do Models Find Happiness? Emotion Vectors in Open-Source LLMs

    arXiv:2606.26987v1 Announce Type: cross Abstract: Recent work identified emotion vectors in Claude Sonnet 4.5, which are internal representations that encode emotion concepts, causally influence behavior, and exhibit geometry mirroring human psychological structure. We test the g…

  2. arXiv cs.AI TIER_1 English(EN) · Mennatallah El-Assady ·

    Where Do Models Find Happiness? Emotion Vectors in Open-Source LLMs

    Recent work identified emotion vectors in Claude Sonnet 4.5, which are internal representations that encode emotion concepts, causally influence behavior, and exhibit geometry mirroring human psychological structure. We test the generality of these findings in two open-weight mod…

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