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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 779
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    Explanations

    references to Brazilian football and associated events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Afgan
    -0.57
     Peshawar
    -0.56
    ritsar
    -0.56
     Sicilia
    -0.55
     Navarra
    -0.54
     Taliban
    -0.52
    AsUp
    -0.51
     Poppy
    -0.51
     RCS
    -0.51
     Srinagar
    -0.51
    POSITIVE LOGITS
     Brazilian
    1.73
     Brazil
    1.66
    Brazil
    1.56
    Brazilian
    1.55
    巴西
    1.45
     Braz
    1.41
     brazilian
    1.36
     BRAZIL
    1.34
     brazil
    1.33
     Брази
    1.32
    Activations Density 0.421%

    No Known Activations