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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15879
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    information related to athletes and sports statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utilisons
    -0.65
    ValueGenerated
    -0.54
    tagHelperRunner
    -0.51
     ChromeDriver
    -0.50
    脚注の使い方
    -0.49
    erializer
    -0.47
     voeren
    -0.46
    MigrationBuilder
    -0.44
    WriteAttribute
    -0.44
    الدراسه
    -0.44
    POSITIVE LOGITS
     soccer
    1.79
     football
    1.79
     basketball
    1.77
     hockey
    1.67
     baseball
    1.64
     rugby
    1.63
     tennis
    1.61
     volleyball
    1.53
     cricket
    1.52
     Basketball
    1.45
    Activations Density 0.437%

    No Known Activations