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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 4766
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    INDEX
    Explanations

    mention of specific sports teams and notable figures within sports contexts

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

    people winning championships

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <<<<<<<<<<<<<<
    -0.40
    tal
    -0.37
     fig
    -0.34
     jsPsych
    -0.34
    もしろ
    -0.33
     ouvre
    -0.33
     sedu
    -0.33
     Friday
    -0.32
     publi
    -0.32
     tal
    -0.32
    POSITIVE LOGITS
     vincit
    0.64
     winning
    0.60
     للمعارف
    0.58
    ngdoc
    0.58
     zwycię
    0.58
    Winning
    0.58
     memenangkan
    0.57
     Winning
    0.57
     побе
    0.55
     CURIAM
    0.55
    Activations Density 0.033%

    No Known Activations