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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7480
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    Explanations

    references to football and associated players and roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     corregir
    -0.35
     gustó
    -0.34
    side
    -0.34
    y
    -0.33
     없
    -0.33
     seit
    -0.31
     Lai
    -0.31
     Sä
    -0.31
     lack
    -0.31
     Min
    -0.31
    POSITIVE LOGITS
    Football
    1.04
     Football
    1.03
     FOOTBALL
    1.02
     football
    1.00
    football
    0.96
     soccer
    0.87
    Basketball
    0.86
     Soccer
    0.85
    soccer
    0.84
    Soccer
    0.84
    Activations Density 0.162%

    No Known Activations