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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 11487
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    names of Japanese directors and associated characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     llorando
    -0.71
     töd
    -0.70
     llorar
    -0.70
     lágrimas
    -0.66
     membunuh
    -0.66
     almofada
    -0.66
    źródło
    -0.65
     senjata
    -0.65
     arasındaki
    -0.65
     permukaan
    -0.65
    POSITIVE LOGITS
     fils
    0.60
     للاسماء
    0.59
     garçon
    0.57
     chevalier
    0.57
     galo
    0.57
     château
    0.56
    tinyos
    0.56
     kras
    0.54
     mView
    0.53
     banan
    0.53
    Activations Density 0.030%

    No Known Activations