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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1964
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    Explanations

    references to countries and their classifications in terms of income or nutritional status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Datuak
    -0.68
     חיצוניים
    -0.61
    utives
    -0.60
    Winnipeg
    -0.59
     يتيمه
    -0.59
     playmobil
    -0.58
    CHICAGO
    -0.56
    Ashley
    -0.56
    ingway
    -0.56
     toul
    -0.56
    POSITIVE LOGITS
     countries
    0.79
     países
    0.61
     country
    0.61
     nations
    0.60
     naciones
    0.57
     governments
    0.54
     Ländern
    0.53
    countries
    0.52
     nación
    0.51
     gobiernos
    0.50
    Activations Density 0.472%

    No Known Activations