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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15725
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    prominent figures in sports and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Füßen
    -0.40
    кипа
    -0.38
     Stadtteil
    -0.36
     Beams
    -0.35
     pylint
    -0.35
    뀜
    -0.34
     ویکی‌پدی
    -0.34
    insics
    -0.34
    verifyException
    -0.33
     Provisions
    -0.32
    POSITIVE LOGITS
     WWF
    0.87
     wrestling
    0.86
     WWE
    0.83
     wrestler
    0.77
    WWF
    0.76
     wrestlers
    0.75
    Wrestling
    0.73
     Wrestling
    0.72
     Wrestle
    0.70
     wrestle
    0.69
    Activations Density 0.261%

    No Known Activations