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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9265
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    Explanations

    phrases concerning player performance and positioning in football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AttributeSet
    -0.53
    WebVitals
    -0.50
     EconPapers
    -0.48
    elemField
    -0.48
     HttpStatus
    -0.46
     vane
    -0.46
    DockStyle
    -0.43
    
    -0.43
     bomber
    -0.43
    UnitTesting
    -0.42
    POSITIVE LOGITS
     midfield
    0.93
     midfielder
    0.78
     mid
    0.61
     middle
    0.57
     volantes
    0.57
    mid
    0.56
     creativo
    0.54
     creativos
    0.53
    กลาง
    0.53
     midt
    0.53
    Activations Density 0.076%

    No Known Activations