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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 15723
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    keywords related to environmental and marine topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Laramie
    -0.59
     Guanajuato
    -0.57
     Kaduna
    -0.53
     oxalate
    -0.52
     Yerevan
    -0.51
     Guelph
    -0.51
     Soria
    -0.50
    USDA
    -0.49
     Gurgaon
    -0.49
     Normdatei
    -0.49
    POSITIVE LOGITS
     marine
    1.80
     ocean
    1.73
     coastal
    1.70
     seawater
    1.63
     Ocean
    1.61
     maritime
    1.61
     sea
    1.60
    Coastal
    1.59
     Sea
    1.59
    Seas
    1.55
    Activations Density 2.705%

    No Known Activations