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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 11204
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    Explanations

    quantifiable measurements and weights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wapV
    -0.43
    出版年
    -0.39
    Kanpo
    -0.39
    tagHelperRunner
    -0.39
    -------------</
    -0.38
    DropTable
    -0.37
    poles
    -0.37
     Satt
    -0.37
    dota
    -0.37
    <?
    -0.36
    POSITIVE LOGITS
     kg
    1.12
    kg
    1.06
     kilogram
    1.05
     kilograms
    0.98
     Kg
    0.94
     kilos
    0.89
    Kg
    0.88
     pounds
    0.86
     pound
    0.86
     lbs
    0.82
    Activations Density 0.337%

    No Known Activations