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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9391
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    statistical measurements and trends in data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shuff
    -0.56
    UIImageView
    -0.56
     Dubois
    -0.54
     McDonough
    -0.52
     Gob
    -0.52
     jsonObject
    -0.50
    concaten
    -0.50
    newnode
    -0.49
     Bois
    -0.49
    München
    -0.49
    POSITIVE LOGITS
     rate
    0.98
     Rate
    0.90
     RATE
    0.89
    RATE
    0.88
    rate
    0.85
    Rate
    0.83
     rates
    0.82
     taux
    0.74
     Rates
    0.73
    Rates
    0.71
    Activations Density 0.137%

    No Known Activations