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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7573
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    Explanations

    keywords related to fashion brands and their products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruptedException
    -0.44
     Congreso
    -0.41
    farin
    -0.40
    NDICE
    -0.40
     فريبيس
    -0.39
    EventData
    -0.38
     Breslau
    -0.38
    ⟬
    -0.37
     Kugel
    -0.37
    ósitos
    -0.36
    POSITIVE LOGITS
     Gucci
    0.98
     Chanel
    0.92
     Prada
    0.89
     Coach
    0.86
     Louis
    0.85
     Dior
    0.85
     Calvin
    0.83
     COACH
    0.83
     Christian
    0.82
     Versace
    0.82
    Activations Density 0.226%

    No Known Activations