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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. 100642
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    Explanations

    proper nouns related to athletes, particularly in the context of sports commentary

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

    names in sports contexts

    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
     ſta
    -0.76
     pleaſure
    -0.74
     Italijanski
    -0.72
     myſelf
    -0.72
     fubject
    -0.71
     ſte
    -0.70
    ſelves
    -0.69
     faſt
    -0.69
    ſelf
    -0.68
     ſtand
    -0.64
    POSITIVE LOGITS
    MessageWindow
    0.43
     aimez
    0.36
    MethodManager
    0.35
    principalColumn
    0.35
     świą
    0.35
     chambres
    0.32
    uário
    0.32
     llevará
    0.32
     ICD
    0.32
    makeConstraints
    0.32
    Activations Density 0.041%

    No Known Activations