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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. 8949
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    Explanations

    references to sports teams and players in various competitive leagues

    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
    utilisons
    -0.60
     MainAxisSize
    -0.55
    tagHelperRunner
    -0.55
     propOrder
    -0.49
    CloseOperation
    -0.49
    pecabe
    -0.48
     ResourceManager
    -0.48
    MENAFN
    -0.47
     voeren
    -0.47
    Demografie
    -0.46
    POSITIVE LOGITS
     football
    1.98
     basketball
    1.84
     soccer
    1.80
     baseball
    1.75
     hockey
    1.65
     rugby
    1.62
    football
    1.52
     cricket
    1.50
     Football
    1.48
     volleyball
    1.42
    Activations Density 0.351%

    No Known Activations