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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 8-GEMMASCOPE-RES-16K
    6. 225
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    Explanations

    references to abdominal and gastrointestinal conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++){
    
    -0.39
    "?>
    -0.37
     consultato
    -0.36
    __(/*!
    -0.34
    ức
    -0.34
     Cardiff
    -0.34
    ++){
    -0.33
     Pad
    -0.32
     battu
    -0.32
     difficult
    -0.32
    POSITIVE LOGITS
     belly
    1.12
     stomach
    1.12
     Stomach
    1.09
     tummy
    1.06
    Belly
    1.02
     perut
    1.01
     Belly
    0.99
     abdomen
    0.99
    belly
    0.98
     barriga
    0.97
    Activations Density 0.382%

    No Known Activations