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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10466
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    Explanations

    references to waste and meat

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     becoming
    -0.40
     personalizadas
    -0.39
    archiviato
    -0.38
     настолько
    -0.38
    Подробнее
    -0.38
    dė
    -0.38
    ////////////////
    -0.37
     nemlig
    -0.36
     gyven
    -0.36
     sounding
    -0.35
    POSITIVE LOGITS
     WASTE
    0.68
    waste
    0.67
    Waste
    0.67
    WASTE
    0.66
     Waste
    0.64
     Meat
    0.63
     MEAT
    0.62
     getValue
    0.61
     Queue
    0.60
     waste
    0.60
    Activations Density 0.200%

    No Known Activations