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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 11970
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    Explanations

    references to athletes and their accomplishments in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    CharacterOffset
    -0.34
    entingan
    -0.34
    usleep
    -0.32
    Minim
    -0.31
     rosca
    -0.31
     mochilas
    -0.30
    makeatletter
    -0.30
     minimized
    -0.30
     pitié
    -0.30
     beweging
    -0.29
    POSITIVE LOGITS
    RegressionTest
    0.71
    UserScript
    0.57
    MessageTagHelper
    0.56
    ModelAdmin
    0.56
     Italijanski
    0.56
    vician
    0.54
    styleType
    0.54
     TextInputType
    0.52
    EUROPA
    0.50
     @"/
    0.49
    Activations Density 0.349%

    No Known Activations