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    2. Gemma-3-12B
    3. 31-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron fires strongly on document‐structure markers such as section headings or metadata tokens (e.g. “Abstracts,” “Reference,” “Posted,” “edited,” large numeric values in specs), i.e. it identifies section titles and other header/metadata elements rather than ordinary text.

    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_31_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    ieken
    0.62
    चारियों
    0.61
     millones
    0.58
     Veränderungen
    0.57
    রাষ্ট
    0.56
     básicos
    0.56
    iders
    0.54
     ব্যবহার
    0.54
    egaard
    0.54
     reliably
    0.54
    POSITIVE LOGITS
     MIND
    0.64
    ANAL
    0.61
    нома
    0.59
    _{+}
    0.57
     FIX
    0.57
     Ponte
    0.57
    VERTEX
    0.55
     INTO
    0.54
    mostat
    0.54
    odat
    0.54
    Activations Density 0.000%

    No Known Activations