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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 5514
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    phrases related to sports performance and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.49
    RenderAtEndOf
    -0.43
    ftagPool
    -0.41
     jsPsych
    -0.41
    Diámetro
    -0.39
     оригіналу
    -0.39
    less
    -0.39
    valentino
    -0.38
    Mas
    -0.37
    AMILY
    -0.36
    POSITIVE LOGITS
     lead
    1.14
     advantage
    1.10
     Advantage
    0.92
    advantage
    0.92
    Advantage
    0.89
     leads
    0.88
     Lead
    0.87
     vantaggio
    0.84
     ventaja
    0.84
    lead
    0.83
    Activations Density 0.159%

    No Known Activations