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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 128452
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    Explanations

    references to garments and clothing items

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

    clothing items and apparel

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    绪
    -0.49
    ⓧ
    -0.49
     Económica
    -0.49
     negó
    -0.48
    élimin
    -0.46
    Clu
    -0.46
     Luck
    -0.46
    kicks
    -0.46
    lewati
    -0.46
     LUCK
    -0.46
    POSITIVE LOGITS
     garment
    1.66
     Garment
    1.51
     garments
    1.47
     prendas
    0.81
     vêtement
    0.77
     prenda
    0.73
     Garn
    0.61
     apparel
    0.61
    djangoproject
    0.60
     Apparel
    0.59
    Activations Density 0.004%

    No Known Activations