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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. 10974
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    Explanations

    statistical performance metrics in sports contexts

    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
    AndroidJUnit
    -0.40
    邮
    -0.38
    Према
    -0.36
    郵
    -0.35
    pseud
    -0.34
     law
    -0.34
     nonatomic
    -0.33
     تعدى
    -0.32
     Capa
    -0.32
    泻
    -0.32
    POSITIVE LOGITS
     interceptions
    0.74
     assists
    0.72
     interception
    0.70
     rebounds
    0.69
    assist
    0.68
     assist
    0.66
    Assist
    0.66
     blocks
    0.65
     Assist
    0.64
     فريبيس
    0.64
    Activations Density 0.120%

    No Known Activations