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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 10430
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    Explanations

    notable fashion brands and designers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    providedIn
    -0.97
     resourceCulture
    -0.67
     مرئيه
    -0.66
     unknownFields
    -0.65
    errHandler
    -0.63
     متعلقه
    -0.63
    InSection
    -0.62
    WebControls
    -0.62
    localctx
    -0.62
     ProtoMessage
    -0.61
    POSITIVE LOGITS
    enciaga
    0.67
     balenciaga
    0.62
     designer
    0.55
     Vuitton
    0.54
     Gucci
    0.53
     Kors
    0.53
    uitton
    0.51
    boutin
    0.51
     vuitton
    0.51
     naturellement
    0.50
    Activations Density 0.621%

    No Known Activations