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    **Explaining the Neuron: Focusing on Patterns**1. **MAX_ACTIVATING_TOKENS**: Contains `ELL` multiple times, and `**` which often acts as a placeholder or separator. The most prominent visible token is `ELL`.2. **TOKENS_AFTER_MAX_ACTIVATING_TOKEN**: Contains `arge`, `uto`, `arge`, `ision`, `u`, `O`, `ar`, `n`, `tre`, `right`.3. **TOP_POSITIVE_LOGITS**: Contains words like `นะ`, `ก่อน`, `můžete`, `Objekte`, `reimag`, `elizabeth`, `onboarding`, `crafting`, `Aktivitäten`. These seem diverse, possibly indicating a very general pattern or common English words mixed with other languages.4. **TOP_ACTIVATING_TEXTS**: * "**L**arge **L**anguage **M**odel." - `LLM` stands for `Large Language Model`. This text has `LL` from `Large` and `Language`. `ELL` would be part of `Language`. * "ARIMA stands for **A**uto**R**egressive **I**ntegrated **M**oving **A**verage." - No `ELL`. * "**LLM** stands for **L**arge **L**anguage **M**odel." - Explicitly mentions `Large Language Model`. This is a strong hint.This neuron detects the sequence "ELL" followed by 'arge' to form "LARGE", often within abbreviations like "LLM" (Large Language Model)

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
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    google/gemma-scope-2-12b-it/resid_post/layer_24_width_16k_l0_medium
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
    that
    0.68
    aj
    0.64
    û
    0.62
    .
    0.61
    mainly
    0.61
    at
    0.60
    breeding
    0.59
    î
    0.59
    (,
    0.58
    ó
    0.58
    POSITIVE LOGITS
     นะ
    0.71
     ก่อน
    0.70
     můžete
    0.64
     Objekte
    0.64
     reimag
    0.64
     elizabeth
    0.64
     onboarding
    0.61
     crafting
    0.60
     Aktivitäten
    0.59
     
    0.59
    Activations Density 0.001%

    No Known Activations