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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12460
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    statistical data related to health and disease prevalence across different countries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tvguidetime
    -0.71
    tagHelperRunner
    -0.61
    новниш
    -0.60
     estimés
    -0.57
     zodiaco
    -0.55
     Autorizaciones
    -0.53
     Evangelio
    -0.53
     praça
    -0.53
     setempat
    -0.52
     leão
    -0.52
    POSITIVE LOGITS
     Japan
    1.42
     China
    1.30
     Germany
    1.28
     Italy
    1.28
     Australia
    1.23
     Japanese
    1.23
     France
    1.23
     Mexico
    1.20
     Chinese
    1.20
     Taiwan
    1.19
    Activations Density 1.703%

    No Known Activations