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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12612
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    keywords related to health and nutrition

    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
    istoitu
    -0.35
    Tracce
    -0.31
    ))[
    -0.31
    PullParser
    -0.29
     وتسجيلات
    -0.28
    iprot
    -0.28
     pageContext
    -0.27
    şört
    -0.27
    farande
    -0.27
     tắt
    -0.27
    POSITIVE LOGITS
     health
    3.25
    health
    2.92
     HEALTH
    2.80
     healthy
    2.73
     Health
    2.72
    Health
    2.67
    HEALTH
    2.61
     healthier
    2.59
    健康
    2.58
    healthy
    2.50
    Activations Density 0.814%

    No Known Activations