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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12866
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    Explanations

    references to notable fashion designers and 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
    .*")]
    -0.50
    verwijspagina
    -0.47
    typeorm
    -0.46
    canestro
    -0.44
    Tikang
    -0.42
     RoutedEventArgs
    -0.42
    WebServlet
    -0.42
    RegistryLite
    -0.41
    ResponseWriter
    -0.38
    providedIn
    -0.38
    POSITIVE LOGITS
     fashion
    1.31
     Fashion
    1.16
     runway
    1.13
    fashion
    1.13
    Fashion
    1.07
     catwalk
    1.02
     FASHION
    1.02
     runways
    0.96
     Vogue
    0.93
     Runway
    0.92
    Activations Density 0.159%

    No Known Activations