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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. 13911
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    Explanations

    references to winning and success in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    farlane
    -0.50
     DbType
    -0.48
     McCarthy
    -0.48
     PDR
    -0.46
     ‘
    -0.46
    ioutil
    -0.46
    [@
    -0.46
    萩
    -0.46
    abase
    -0.46
     Prado
    -0.45
    POSITIVE LOGITS
     won
    0.91
     winner
    0.90
     WINNER
    0.86
     win
    0.83
    Winning
    0.82
     Winner
    0.81
     Winning
    0.81
     winning
    0.80
    Winner
    0.79
     kemenangan
    0.79
    Activations Density 0.137%

    No Known Activations