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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10197
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    Explanations

    metrics related to player performance in sports

    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
    MLLoader
    -0.61
     ddelweddau
    -0.57
    Espèce
    -0.52
     оригіналу
    -0.52
     AssemblyTitle
    -0.52
    PerformLayout
    -0.51
    SharedCtor
    -0.50
    ChildScrollView
    -0.47
    aronder
    -0.46
    ніципа
    -0.46
    POSITIVE LOGITS
     statistical
    0.51
     metrics
    0.47
     statistik
    0.44
     statistically
    0.44
     stats
    0.44
     stat
    0.43
     rating
    0.42
     differential
    0.42
     average
    0.42
     adjusted
    0.42
    Activations Density 0.143%

    No Known Activations