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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9281
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    Explanations

    highly-rated athletes, particularly in football positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
     Wikispecies
    -0.57
    dalena
    -0.51
    قیمت
    -0.50
     teuer
    -0.50
    berday
    -0.48
    ersatz
    -0.48
     GenerationType
    -0.48
    Spoilers
    -0.47
    Phaser
    -0.47
    bootstrapcdn
    -0.47
    POSITIVE LOGITS
     recruiting
    1.11
     recruit
    1.03
     commits
    1.00
     commitment
    1.00
     commit
    1.00
     committed
    0.97
     recruitment
    0.96
     recruits
    0.95
     Recruiting
    0.93
    recruit
    0.93
    Activations Density 0.171%

    No Known Activations