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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. 20-GEMMASCOPE-RES-131K
    11. 4935
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    INDEX
    Explanations

    references to eyebrow makeup products and application techniques

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

    facial features

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NSCoder
    -0.56
    lapsingToolbar
    -0.55
    MigrationBuilder
    -0.52
    HostException
    -0.52
    quelize
    -0.50
     onBackPressed
    -0.49
     ReactDOM
    -0.48
    Спољашње
    -0.47
    databind
    -0.47
     uſed
    -0.47
    POSITIVE LOGITS
     eyebrow
    0.65
    眉
    0.61
    ebrow
    0.58
     cejas
    0.56
    眉毛
    0.56
     eyebrows
    0.55
     brow
    0.51
     brows
    0.49
    下载附件
    0.49
    brows
    0.46
    Activations Density 0.002%

    No Known Activations