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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55660
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    Explanations

    proper nouns related to sports teams and individuals, particularly those associated with football and notable cultural figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Wimbledon and Tennis

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    protoimpl
    -0.63
    Искәрмәләр
    -0.54
    IsMutable
    -0.52
    Rptr
    -0.52
     disponibilités
    -0.49
    
    -0.48
    verwijspagina
    -0.47
    /**
    -0.47
    pulumi
    -0.47
    adaptiveStyles
    -0.46
    POSITIVE LOGITS
     Wimbledon
    2.27
    bledon
    1.74
    Wim
    1.38
     Wim
    0.98
     wim
    0.72
     Tennis
    0.68
    wim
    0.63
     tennis
    0.63
    윔
    0.59
    Tennis
    0.58
    Activations Density 0.001%

    No Known Activations