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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. 10407
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    occurrences of sports-related events and terms

    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
     lenker
    -0.47
     Мексичка
    -0.40
     autorytatywna
    -0.39
    Autoritní
    -0.38
     iParam
    -0.38
    expandindo
    -0.37
    
    -0.37
     praça
    -0.36
     omfatt
    -0.34
    preview
    -0.33
    POSITIVE LOGITS
     scoring
    1.01
     shots
    1.00
     shot
    0.96
     penalty
    0.93
     ball
    0.90
     Scoring
    0.86
     fouls
    0.85
     scored
    0.83
     passes
    0.83
     Shots
    0.82
    Activations Density 0.346%

    No Known Activations