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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 1698
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    quantitative data related to response and improvement rates in a medical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    énario
    -0.53
    CardModule
    -0.49
    orsese
    -0.47
     للاسماء
    -0.47
     invokingState
    -0.47
    Rüyada
    -0.46
    ametric
    -0.45
     Monfieur
    -0.45
    eschön
    -0.45
    WireFormatLite
    -0.45
    POSITIVE LOGITS
     percentage
    0.63
     porcentaje
    0.61
     percentages
    0.56
    featureID
    0.54
     Percentage
    0.52
    率
    0.51
    Percentage
    0.51
     efficiency
    0.51
     proporción
    0.50
     Efficiency
    0.49
    Activations Density 1.597%

    No Known Activations