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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. 16281
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    technical specifications and performance metrics of vehicles

    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
    expandindo
    -0.73
     Paglinawan
    -0.58
    abestanden
    -0.56
     defaultstate
    -0.54
    exitRule
    -0.52
    <?
    -0.51
    IndentedString
    -0.51
    SourceChecksum
    -0.50
    GEBURTSDATUM
    -0.50
    principalColumn
    -0.50
    POSITIVE LOGITS
     potência
    0.95
     power
    0.94
     horsepower
    0.94
     output
    0.91
     peak
    0.91
     puissance
    0.87
     torque
    0.85
    power
    0.85
     powerful
    0.82
    powerful
    0.79
    Activations Density 0.283%

    No Known Activations