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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. 7046
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    specific references to Danish people or cultural figures

    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
     للاسماء
    -0.80
    ThroughAttribute
    -0.76
    MigrationBuilder
    -0.73
     CreateTagHelper
    -0.69
     dévelo
    -0.69
     المعيارى
    -0.69
     rhestr
    -0.68
    endpush
    -0.68
    __':
    -0.68
    änien
    -0.68
    POSITIVE LOGITS
     Danish
    0.50
     Copenhagen
    0.48
     Aarhus
    0.47
     ud
    0.42
     af
    0.41
    Danish
    0.41
     Sø
    0.39
    Dan
    0.39
     Denmark
    0.39
     Rasmussen
    0.37
    Activations Density 0.329%

    No Known Activations