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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. 6425
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    references to locations and categories associated with footballers

    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
    脚注の使い方
    -0.74
    NameInMap
    -0.65
     ſind
    -0.50
     dAtA
    -0.49
    httphttps
    -0.47
     Shandong
    -0.47
     Reſ
    -0.47
     canlynol
    -0.46
     myſelf
    -0.45
     sois
    -0.45
    POSITIVE LOGITS
     Colombian
    1.05
     Colombia
    0.98
    Colombia
    0.85
     Bogota
    0.81
     colombiano
    0.79
     colombiana
    0.78
     Bogotá
    0.70
     colomb
    0.69
     colombia
    0.68
     Columbia
    0.68
    Activations Density 0.113%

    No Known Activations