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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 15850
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    terms related to medical risk factors and kidney health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Савезне
    -0.46
    
    -0.43
    contentLoaded
    -0.42
     MainAxisSize
    -0.41
     rantai
    -0.41
    ंदीखरीदारी
    -0.40
     extingu
    -0.39
     officielles
    -0.39
    InputBorder
    -0.38
    期刊论文
    -0.38
    POSITIVE LOGITS
     Health
    0.57
     health
    0.57
    Health
    0.56
    health
    0.51
    ItemBackground
    0.48
    健康
    0.48
    Nutri
    0.48
    */),
    0.47
    Fitness
    0.47
    fitness
    0.47
    Activations Density 1.035%

    No Known Activations