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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. 9063
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    references to player statistics in sports

    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
    MLLoader
    -0.73
     AssemblyTitle
    -0.63
    withIdentifier
    -0.54
    SharedDtor
    -0.53
     BoxFit
    -0.52
     оригіналу
    -0.51
    principalTable
    -0.51
     Inscrivez
    -0.50
    expandindo
    -0.50
    delay
    -0.49
    POSITIVE LOGITS
     adjusted
    0.48
     stats
    0.45
     Adjusted
    0.43
     metrics
    0.42
     stat
    0.42
    adjusted
    0.41
     efficiency
    0.40
     statistics
    0.40
     average
    0.39
     statistical
    0.39
    Activations Density 0.188%

    No Known Activations