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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 7542
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    Explanations

    statistics and performance metrics related to football players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stateProvider
    -0.51
    
    -0.49
    elerik
    -0.48
    ArgumentParser
    -0.47
    XmlEnum
    -0.46
    oredCriteria
    -0.46
    PyExc
    -0.46
    RectangleBorder
    -0.46
     BoxDecoration
    -0.45
    BASEPATH
    -0.45
    POSITIVE LOGITS
     NFL
    1.10
    NFL
    1.00
     quarterback
    0.90
     football
    0.87
     AFC
    0.85
     nfl
    0.85
     NFC
    0.84
     quarterbacks
    0.84
     Steelers
    0.83
     Belich
    0.82
    Activations Density 0.287%

    No Known Activations