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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. 14434
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    Explanations

    references to beer and its consumption

    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
    ミング
    -0.41
    kover
    -0.35
     Turch
    -0.35
    olutamente
    -0.35
     Winkel
    -0.35
     Mathem
    -0.34
    HtmlAttribute
    -0.34
     dolgo
    -0.34
    PickerController
    -0.32
     Segen
    -0.32
    POSITIVE LOGITS
     beer
    2.08
     beers
    1.79
     Beer
    1.77
     brewery
    1.76
    Beer
    1.73
     breweries
    1.70
     brewers
    1.69
    beer
    1.64
     brewing
    1.59
     brewer
    1.59
    Activations Density 0.120%

    No Known Activations