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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14532
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    Explanations

    names of fashion designers and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VersionUID
    -0.55
    WebServlet
    -0.52
    .*")]
    -0.48
    ResponseWriter
    -0.48
    AddHtmlAttribute
    -0.45
    typeorm
    -0.45
     disambiguazione
    -0.44
     Autorizaciones
    -0.44
    SerializedName
    -0.43
     referenties
    -0.42
    POSITIVE LOGITS
     fashion
    0.94
     runway
    0.87
    fashion
    0.82
     catwalk
    0.82
     Fashion
    0.81
     runways
    0.75
     couture
    0.72
    Fashion
    0.72
     FASHION
    0.66
    vogue
    0.66
    Activations Density 0.087%

    No Known Activations