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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6321
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    references to athletes and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     مرئيه
    -0.50
    webElementXpaths
    -0.48
    RTLR
    -0.47
    WebControls
    -0.43
    keyColumn
    -0.40
     QtCore
    -0.40
     getItemId
    -0.40
    extrême
    -0.39
    AutoModerator
    -0.39
    usermodel
    -0.39
    POSITIVE LOGITS
     boxing
    1.30
     Boxing
    1.10
     boxers
    1.09
     boxer
    1.09
    boxing
    1.07
    Boxing
    1.05
    🥊
    1.04
     boxe
    0.97
     boxeo
    0.94
     fights
    0.94
    Activations Density 0.089%

    No Known Activations