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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 42125
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    INDEX
    Explanations

    references to image quality attributes, particularly sharpness and clarity of edges

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

    sharpness and crispness

    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
     للاسماء
    -0.50
    جوايز
    -0.43
    Spoljašnje
    -0.40
    getActiveSheet
    -0.39
     Normdatei
    -0.39
    DNEY
    -0.39
    layouts
    -0.38
    transQ
    -0.37
     PeEnEo
    -0.37
    TokenNameLBRACE
    -0.37
    POSITIVE LOGITS
     sharpness
    0.84
     sharpen
    0.77
     sharper
    0.77
    sharp
    0.74
     sharpening
    0.73
     sharp
    0.70
     blur
    0.68
    Sharp
    0.65
     sharpened
    0.65
     Sharp
    0.63
    Activations Density 0.129%

    No Known Activations