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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. 3863
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    Explanations

    names of players in a sports context, particularly related to matches and tournaments

    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
     gro
    -0.37
     Wiss
    -0.35
     close
    -0.35
    close
    -0.35
    owią
    -0.34
     art
    -0.34
     
    -0.33
    CURS
    -0.33
     experimental
    -0.32
     rebo
    -0.31
    POSITIVE LOGITS
     AssemblyTitle
    0.79
    Personendaten
    0.75
    MigrationBuilder
    0.75
    fromnode
    0.70
     betweenstory
    0.68
     CreateTagHelper
    0.65
     للمعارف
    0.61
    MLLoader
    0.59
     للاسماء
    0.59
     informée
    0.58
    Activations Density 0.056%

    No Known Activations