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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1108
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    Explanations

    statistically presented data, specifically regarding averages, percentages, and proportions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.40
    pag
    -0.34
    ंदीखरीदारी
    -0.33
     racking
    -0.31
    ijo
    -0.31
    assemb
    -0.30
     Muni
    -0.29
     ghi
    -0.29
     Mondo
    -0.28
     Stallion
    -0.28
    POSITIVE LOGITS
     percentage
    2.78
     percentages
    2.47
     proportion
    2.39
    percentage
    2.33
     Percentage
    2.33
     porcentaje
    2.27
    Percentage
    2.22
     pourcentage
    2.13
     percent
    2.11
    proportion
    2.08
    Activations Density 1.266%

    No Known Activations