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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 2432
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    details related to vehicle descriptions and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.50
     '\\;'
    -0.44
    TypedDataSet
    -0.41
    OGND
    -0.41
     Tapia
    -0.40
     ferons
    -0.40
    rungsseite
    -0.40
    Bronnen
    -0.40
     Reised
    -0.40
     AssemblyCulture
    -0.38
    POSITIVE LOGITS
     Audi
    1.28
     BMW
    1.28
     Ford
    1.28
     Mercedes
    1.27
     Nissan
    1.24
     Honda
    1.23
     Toyota
    1.23
     Mazda
    1.19
     Subaru
    1.18
     Volvo
    1.17
    Activations Density 0.500%

    No Known Activations