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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. 15266
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    instances of outstanding performance in sports

    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
    WaitGroup
    -0.60
    StoryboardSegue
    -0.45
    يكب
    -0.43
    rungsseite
    -0.43
    цездатний
    -0.42
     ExecuteAsync
    -0.41
    OrWhiteSpace
    -0.41
    SceneManagement
    -0.38
    webElementXpaths
    -0.37
    
    -0.36
    POSITIVE LOGITS
     AFL
    0.64
     ruck
    0.63
    AFL
    0.62
     footy
    0.57
     football
    0.57
     kicking
    0.56
     kicked
    0.52
     footballers
    0.51
     footballer
    0.50
     premi
    0.49
    Activations Density 0.053%

    No Known Activations