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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 3867
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    Explanations

    associations between health conditions and risk factors using statistical analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     transfieras
    -0.48
    scriptId
    -0.47
    Lähteet
    -0.47
    المناصب
    -0.46
     оригіналу
    -0.46
    toBeDefined
    -0.45
    fjspx
    -0.45
    fitrión
    -0.45
    Cyfarwyddwr
    -0.45
    fromCharCode
    -0.43
    POSITIVE LOGITS
     hazard
    0.65
     risk
    0.65
     odds
    0.62
     adjusted
    0.62
     Hazard
    0.60
    Hazard
    0.55
     Odds
    0.52
     Risk
    0.52
    hazard
    0.52
     Adjusted
    0.50
    Activations Density 3.383%

    No Known Activations