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    3. Gemma-3-12B
    5. 24-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron fires strongly on low‐frequency, highly specific tokens (e.g. numbers, proper names, medical terms)—in other words, it flags rare or unusual 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
    No Configuration Found
    Embeds
    IFrame
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    Negative Logits
     Aufenthalt
    0.73
     zusätzlichen
    0.72
     Ausbildung
    0.71
     modernen
    0.71
     Oficina
    0.70
     Robotic
    0.70
     wichtige
    0.70
     sicherlich
    0.69
     mantener
    0.67
     Overwatch
    0.67
    POSITIVE LOGITS
    g
    0.71
    ’
    0.71
    v
    0.67
    h
    0.65
    k
    0.63
    r
    0.63
    t
    0.62
    s
    0.62
    ó
    0.61
    ['
    0.60
    Activations Density 0.000%

    No Known Activations