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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 4029
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    INDEX
    Explanations

    references to sports teams and their performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Arsenal or Gunners

    np_acts-logits-general · gemini-2.0-flash

    Arsenal coaches

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MigrationBuilder
    -0.92
     AssemblyCulture
    -0.89
    oredCriteria
    -0.80
    awtextra
    -0.72
    TintMode
    -0.67
    Portale
    -0.65
    OGND
    -0.62
     MainAxisSize
    -0.62
     مشين
    -0.62
    itinéraire
    -0.61
    POSITIVE LOGITS
     Gunners
    1.14
     Arsenal
    1.11
     Arteta
    0.97
    Arsenal
    0.96
    gun
    0.79
     Mikel
    0.79
     Wenger
    0.78
    Gun
    0.77
    arsenal
    0.73
     gun
    0.70
    Activations Density 0.119%

    No Known Activations