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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7812
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    Explanations

    names of sports teams, particularly in football and baseball

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Viitteet
    -0.59
     Photocase
    -0.57
    makeText
    -0.57
    tvguidetime
    -0.55
     itinéraires
    -0.55
    RetentionPolicy
    -0.54
    StoryboardSegue
    -0.54
     intStringLen
    -0.54
     للمعارف
    -0.52
    postIndex
    -0.52
    POSITIVE LOGITS
     Broncos
    1.58
     Dodgers
    1.51
     Lakers
    1.51
     Seahawks
    1.50
     Cowboys
    1.48
     Falcons
    1.47
     Steelers
    1.46
     Patriots
    1.45
     Raiders
    1.45
     Celtics
    1.44
    Activations Density 0.818%

    No Known Activations