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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 16172
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    Explanations

    references to professional wrestlers and their accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 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
    rungsseite
    -0.44
    Ancho
    -0.43
     cavitation
    -0.42
     Vian
    -0.35
    Lur
    -0.35
     flotation
    -0.34
    worry
    -0.34
     effici
    -0.34
     woning
    -0.33
    Rendez
    -0.33
    POSITIVE LOGITS
     WWE
    0.66
    WWE
    0.59
    Попис
    0.59
     wwe
    0.58
     wrestlers
    0.56
     wrestling
    0.53
     wrestler
    0.51
    restling
    0.51
    NewUrlParser
    0.50
     Wrestling
    0.50
    Activations Density 0.094%

    No Known Activations