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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 14117
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    Explanations

    mentions of specific athletes and their performance in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ViewImports
    -0.85
    TypedDataSet
    -0.85
    MessageTagHelper
    -0.79
    WebElementEntity
    -0.78
     kasarigan
    -0.76
     שוליים
    -0.75
     disambiguazione
    -0.75
    :✨
    -0.73
     Lightboxes
    -0.72
    transQ
    -0.71
    POSITIVE LOGITS
    Messi
    0.64
     Messi
    0.59
    Neymar
    0.57
     LeBron
    0.51
     Neymar
    0.49
    Ronaldo
    0.48
     Mbappe
    0.47
     MaterialApp
    0.46
     Ronaldo
    0.46
     Cristiano
    0.44
    Activations Density 0.276%

    No Known Activations