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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. 9819
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    statistical metrics related to sports teams and their performance

    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
     calorías
    -0.50
    Gön
    -0.49
    ‚¬
    -0.49
    HasKey
    -0.48
     ModelExpression
    -0.47
    Manbalar
    -0.47
    knapp
    -0.47
     Devo
    -0.46
     SCM
    -0.46
     Ute
    -0.45
    POSITIVE LOGITS
     undefeated
    0.53
     perfect
    0.53
    perfect
    0.50
    MergeFrom
    0.45
    Perfect
    0.43
     unbeaten
    0.42
     
    0.41
     Perfect
    0.40
     CallOverrides
    0.40
    Record
    0.39
    Activations Density 0.248%

    No Known Activations