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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. 6716
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    references to players and their performance in sports contexts, focusing on statistics and attributes

    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
     AssemblyTitle
    -0.57
     ProtoMessage
    -0.56
    MockBean
    -0.52
     ویکی‌پدیای
    -0.51
    CloseOperation
    -0.50
    SequentialGroup
    -0.49
    EndContext
    -0.48
    最快更新
    -0.48
    AndEndTag
    -0.47
     Wikime
    -0.47
    POSITIVE LOGITS
     averaged
    0.73
     scored
    0.72
     racked
    0.59
     notched
    0.55
     finished
    0.53
     averaging
    0.53
     averages
    0.50
     excelled
    0.50
     missed
    0.48
     racking
    0.48
    Activations Density 0.204%

    No Known Activations