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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10180
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    Explanations

    mentions of players and their roles or actions within a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UserScript
    -0.69
     EconPapers
    -0.56
    webElementXpaths
    -0.55
     kaarangay
    -0.52
     "..\..\
    -0.50
    verwijspagina
    -0.50
     "..\..\..\
    -0.49
    GeoNames
    -0.48
     وتسجيلات
    -0.48
    NOPQRST
    -0.48
    POSITIVE LOGITS
     athletes
    0.59
     players
    0.55
     Athletes
    0.51
     footballers
    0.50
    Players
    0.44
    运动员
    0.43
    队员
    0.43
    athletes
    0.43
     Players
    0.42
     wrestlers
    0.41
    Activations Density 0.106%

    No Known Activations