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    2. Gemma-2-27B
    3. 10-GEMMASCOPE-RES-131K
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    adenocarcinomas, cheddar, sedan, deer

    np_acts-logits-general · gemini-2.5-flash-lite

    The neuron fires strongly on concrete, countable noun mentions—especially specific object categories (e.g. vehicles, foods, weapons, disease names).

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-27b-pt-res/layer_10/width_131k
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
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    Negative Logits
    ské
    -1.38
    ("");
    -1.37
    の準備
    -1.36
     להם
    -1.34
    </h4>
    -1.33
    いは
    -1.30
    árbol
    -1.28
     campeón
    -1.27
    地板
    -1.27
    elena
    -1.22
    POSITIVE LOGITS
    鬈
    1.65
    If
    1.57
    Only
    1.57
    VERTISEMENT
    1.43
    When
    1.38
    During
    1.38
    发表于
    1.35
     only
    1.34
     همان
    1.34
    KommentareTeilen
    1.33
    Activations Density 0.341%

    No Known Activations