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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12460
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    references to specific countries and their health-related statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     اصفه
    -0.57
     Berliner
    -0.57
     Parisian
    -0.56
     петербург
    -0.56
     Florentine
    -0.55
     Rican
    -0.50
     valenci
    -0.50
    gbaar
    -0.49
     москов
    -0.49
    namese
    -0.47
    POSITIVE LOGITS
     India
    1.79
     Canada
    1.71
     Australia
    1.70
     Germany
    1.70
     Italy
    1.68
     France
    1.63
     Ireland
    1.63
     Nigeria
    1.59
     Japan
    1.58
     Spain
    1.56
    Activations Density 1.595%

    No Known Activations