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    2. Gemma-3-12B
    3. 24-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron fires on very high-frequency/common tokens (e.g. “of,” “an,” “I’m,” “more,” “professors,” closing quotes, etc.), effectively detecting the most frequent subword units.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-12b-pt/resid_post/layer_24_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
     হইতেছিল
    0.77
    ოლოდ
    0.77
     হইতেছে
    0.75
     daarbij
    0.74
    PerRow
    0.73
    ྵ
    0.73
     худо
    0.72
    드립니다
    0.71
     হইত
    0.71
     ظاہر
    0.70
    POSITIVE LOGITS
    ā
    0.82
    őt
    0.77
    ِي
    0.72
     Тол
    0.72
    ول
    0.71
     Č
    0.70
    E
    0.70
    ---
    0.70
    َّ
    0.70
    Š
    0.70
    Activations Density 0.008%

    No Known Activations