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    2. Gemma-3-12B
    3. 31-GEMMASCOPE-2-RES-16K
    4. 1784
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    This neuron detects technical jargon and acronyms—particularly file-format names and other domain‐specific terms (e.g. “wav,” “mp3,” “WMA,” “DLNA,” “overlay,” “infrared,” “ultrasonic,” etc.).

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
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    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
    avao
    0.80
    んにちは
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    ড়িয়ে
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    ᧐
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    nhs
    0.72
    ными
    0.71
    ॉक
    0.71
    urther
    0.70
    吖
    0.70
    ối
    0.70
    POSITIVE LOGITS
     ${
    0.72
     v
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     \
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     w
    0.63
     $[
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     [
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     k
    0.62
     p
    0.62
     (
    0.61
     proper
    0.60
    Activations Density 0.844%

    No Known Activations