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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 3069
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    INDEX
    Explanations

    mentions of the name "Garcia" and its variants

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

    starting with "Gar" or "Garcia"

    np_acts-logits-general · gemini-2.0-flash

    Gar names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    complexContent
    -0.56
    BindingResult
    -0.49
     cherchés
    -0.49
    
    -0.47
    脚注の使い方
    -0.43
    EndContext
    -0.43
    GeoNames
    -0.41
    calipsis
    -0.41
    المكان
    -0.40
     салон
    -0.40
    POSITIVE LOGITS
     GAR
    0.75
     Gar
    0.71
    Gar
    0.69
     gar
    0.67
     Garrison
    0.57
     Garnier
    0.50
     Garg
    0.49
     Гар
    0.49
     Garage
    0.48
     Garrett
    0.48
    Activations Density 0.178%

    No Known Activations