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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 3464
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    Explanations

    team names from American professional sports leagues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     itinéraires
    -0.42
    makeText
    -0.41
    postIndex
    -0.39
    absch
    -0.39
     ivelany
    -0.38
    তথ্য
    -0.37
     órgãos
    -0.37
    Примі
    -0.36
     beds
    -0.36
    XMLSchema
    -0.35
    POSITIVE LOGITS
     Lakers
    1.73
     Broncos
    1.71
     Dodgers
    1.68
     Yankees
    1.66
     Celtics
    1.62
     Falcons
    1.59
     Patriots
    1.56
     Knicks
    1.55
     Cowboys
    1.55
     Seahawks
    1.55
    Activations Density 0.534%

    No Known Activations