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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 4746
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    Explanations

    brand names and product features related to clothing and household items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    brand names and proper nouns

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <?
    -0.47
    primento
    -0.46
    Linki
    -0.45
     hlavy
    -0.43
     silicona
    -0.42
     transparencia
    -0.41
     reempla
    -0.41
     pegatina
    -0.41
     embaj
    -0.41
     casada
    -0.40
    POSITIVE LOGITS
    ftagPool
    0.60
     Walmart
    0.51
    ंदीखरीदारी
    0.50
    skechers
    0.49
    itosan
    0.48
     المعيارى
    0.47
    figer
    0.47
     Magellan
    0.47
     NCAA
    0.46
     Ezekiel
    0.46
    Activations Density 0.017%

    No Known Activations