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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. 11079
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    INDEX
    Explanations

    references to professional wrestlers and their careers

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

    wrestling and DDT

    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
    efficiency
    -0.34
     efficiency
    -0.34
    Efficiency
    -0.33
    reduction
    -0.31
    oxyd
    -0.31
    原始内容存档
    -0.31
    AllAfrica
    -0.31
    hidden
    -0.30
     effici
    -0.30
    insics
    -0.30
    POSITIVE LOGITS
     WrestleMania
    0.75
     WWE
    0.69
     Wrestling
    0.69
    restling
    0.69
     wrestling
    0.63
     wrestlers
    0.61
    WWE
    0.60
     wrestler
    0.58
     Wrestle
    0.57
    Wrestling
    0.57
    Activations Density 0.064%

    No Known Activations