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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. 101355
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    INDEX
    Explanations

    features and characteristics of clothing items, particularly related to performance and comfort

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

    clothing and fashion items

    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
    OGND
    -0.67
    出版年
    -0.64
     ostavi
    -0.64
     Numerade
    -0.57
    MigrationBuilder
    -0.55
     utafitiHapana
    -0.52
    FieldOffsetTable
    -0.52
     NgModule
    -0.52
    TypedDataSet
    -0.50
     peintures
    -0.50
    POSITIVE LOGITS
     cotton
    0.38
    wear
    0.38
     garment
    0.36
     wearer
    0.35
     straps
    0.35
     drawstring
    0.35
     comfy
    0.35
     selv
    0.34
     fashion
    0.34
     wear
    0.34
    Activations Density 0.022%

    No Known Activations