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    2. Gemma-3-12B
    3. 24-GEMMASCOPE-2-RES-16K
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    The neuron responds strongly to very high-frequency tokens—common function words (like “a” and “the”), punctuation (e.g. “.”), and similarly frequent small words.

    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
     XGB
    0.29
     reproducibility
    0.29
     extraordin
    0.28
     primera
    0.28
    樣子
    0.28
     cumplir
    0.27
     NIR
    0.27
     impromptu
    0.27
     tuba
    0.27
     எழுதிய
    0.27
    POSITIVE LOGITS
    <blockquote>
    0.40
    <h3>
    0.39
    <h2>
    0.36
    А
    0.36
    <h1>
    0.35
    <h4>
    0.33
    Sebagai
    0.33
     Sebagai
    0.30
     Поскольку
    0.30
    <h5>
    0.30
    Activations Density 0.528%

    No Known Activations