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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12316
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    Explanations

    quantitative metrics and calculations, particularly those involving percentages and adherence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueGeneration
    -0.41
    ároz
    -0.39
    quelize
    -0.39
     sandero
    -0.39
     hik
    -0.38
    confirmPassword
    -0.38
    apimachinery
    -0.38
     Schal
    -0.38
    Välislingid
    -0.38
    matous
    -0.38
    POSITIVE LOGITS
     percent
    0.75
     percentages
    0.73
     percentage
    0.72
     Prozent
    0.69
    percent
    0.68
     porcentaje
    0.68
     pourcentage
    0.65
     (%)
    0.65
    Percent
    0.65
    Percentage
    0.63
    Activations Density 1.423%

    No Known Activations