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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 993
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    references to achievements and honors in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IFont
    -0.45
    Autoritní
    -0.45
    selaer
    -0.42
     eval
    -0.40
    Kjelder
    -0.37
     Safran
    -0.36
    telen
    -0.34
    ๆ
    -0.34
     Esau
    -0.34
    jacent
    -0.34
    POSITIVE LOGITS
     winning
    0.73
     trophy
    0.68
     award
    0.66
     trophies
    0.65
    🏆
    0.63
     winners
    0.62
     winner
    0.61
     awards
    0.61
     prize
    0.60
     remporté
    0.59
    Activations Density 0.211%

    No Known Activations