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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9270
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    Explanations

    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 @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fotbal
    -0.57
     football
    -0.57
     StatelessWidget
    -0.56
     fotball
    -0.55
     Football
    -0.53
    Fußball
    -0.52
     Fußball
    -0.52
     fútbol
    -0.51
    football
    -0.50
     onCreateView
    -0.49
    POSITIVE LOGITS
     medal
    0.89
     Olympic
    0.81
     medals
    0.80
    Olympic
    0.70
    medal
    0.70
     athletes
    0.69
     Olympian
    0.68
     méda
    0.68
     competed
    0.66
     podium
    0.65
    Activations Density 0.149%

    No Known Activations