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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. 5088
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    expressions of commitment or dedication to a cause or action

    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
    NameInMap
    -0.57
    parsedMessage
    -0.56
    QMetaType
    -0.56
    -------------</
    -0.56
    
    -0.52
    roslav
    -0.52
    arangay
    -0.51
    脚注の使い方
    -0.50
    Parcelize
    -0.50
    ➌
    -0.50
    POSITIVE LOGITS
     commitment
    0.85
    commitment
    0.73
    Commitment
    0.72
     Commitment
    0.71
     commitments
    0.69
     commit
    0.64
     Commit
    0.62
    Committed
    0.62
     COMMIT
    0.61
     impegno
    0.61
    Activations Density 0.107%

    No Known Activations