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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 7757
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    references to professional athletes and their related experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    脚注の使い方
    -0.58
     autorytatywna
    -0.56
    LEncoder
    -0.56
    
    -0.53
     defaultstate
    -0.53
     ब्रेकडाउन
    -0.53
    }{*}{}
    -0.53
    ########.
    -0.52
     CanadaChoose
    -0.50
    ✭✭
    -0.49
    POSITIVE LOGITS
     sports
    0.75
     football
    0.70
     footballers
    0.68
    Football
    0.64
    futbolista
    0.64
     Football
    0.63
     athletes
    0.61
     Sports
    0.61
     SPORTS
    0.61
    Sports
    0.59
    Activations Density 0.848%

    No Known Activations