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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 35-GEMMASCOPE-RES-16K
    6. 16010
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    discussions related to fashion and clothing trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     فريبيس
    -0.56
     للاسماء
    -0.48
    RefNanny
    -0.47
    UnusedPrivate
    -0.46
     cheminée
    -0.46
    webElementXpaths
    -0.44
    DockStyle
    -0.44
     caneca
    -0.43
    ypeł
    -0.43
     estatua
    -0.43
    POSITIVE LOGITS
     fashion
    1.69
     clothing
    1.62
     Fashion
    1.49
     garments
    1.48
    fashion
    1.44
     clothes
    1.43
    Fashion
    1.40
     garment
    1.39
     Clothing
    1.37
     apparel
    1.34
    Activations Density 0.436%

    No Known Activations