mlsanityData to 14 Oct 2026

I Have No Mouth, and I Must Rhyme: Uncovering Internal Phonetic Representations in LLaMA 3.2

arXiv 2508.02527 ↗First posted 4 Aug 2025cs.CL cs.LGcited by 1

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Abstract (arXiv)

Large language models demonstrate proficiency on phonetic tasks, such as rhyming, without explicit phonetic or auditory grounding. In this work, we investigate how verb|Llama-3.2-1B-Instruct| represents token-level phonetic information. Our results suggest that Llama uses a rich internal model of phonemes to complete phonetic tasks. We provide evidence for high-level organization of phoneme representations in its latent space. In doing so, we also identify a ``phoneme mover head" which promotes phonetic information during rhyming tasks. We visualize the output space of this head and find that, while notable differences exist, Llama learns a model of vowels similar to the standard IPA vowel chart for humans, despite receiving no direct supervision to do so.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 16 references that are in the map. First posted on arXiv 4 Aug 2025.

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6 of 16 references.

References · 6

  1. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  2. 2022Locating and Editing Factual Associations in GPTcited by 2,691
  3. 2023Language Models Represent Space and Timecited by 316
  4. 2024Not All Language Model Features Are One-Dimensionally Linearcited by 212
  5. 2024Interpreting Attention Layer Outputs with Sparse Autoencoderscited by 43
  6. 2024Talking Heads: Understanding Inter-layer Communication in Transformer Language Modelscited by 41

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