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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14531
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    references to Argentine culture and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     retos
    -0.60
     escoger
    -0.48
    mainen
    -0.45
     añade
    -0.45
     gezet
    -0.45
     acabados
    -0.44
     menudo
    -0.42
    crito
    -0.42
     Trujillo
    -0.41
     Socorro
    -0.41
    POSITIVE LOGITS
     Argentine
    0.95
     Argentina
    0.89
     Buenos
    0.86
     Argent
    0.85
    Argentina
    0.79
    Argentine
    0.77
     argentina
    0.73
     argent
    0.70
     Argentino
    0.69
     argentino
    0.68
    Activations Density 0.138%

    No Known Activations