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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3451
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    Explanations

    references to football and soccer players or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ddelweddau
    -0.48
     Zeugen
    -0.46
    学家
    -0.44
    本地
    -0.43
     poichè
    -0.42
     resourceCulture
    -0.42
     Anlass
    -0.42
    号
    -0.40
     sogget
    -0.40
     Sä
    -0.39
    POSITIVE LOGITS
     soccer
    1.00
     football
    0.93
     FOOTBALL
    0.93
     Soccer
    0.90
     Football
    0.89
    Football
    0.88
    football
    0.87
    Soccer
    0.86
    soccer
    0.85
     baseball
    0.76
    Activations Density 0.132%

    No Known Activations