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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. 1587
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    keywords related to real estate and investment value

    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
     fieldNum
    -0.32
    strijd
    -0.32
     LayoutInflater
    -0.31
     reuse
    -0.30
     reused
    -0.30
    antidad
    -0.30
     sparring
    -0.29
    CCB
    -0.29
    ição
    -0.29
     esti
    -0.29
    POSITIVE LOGITS
     investment
    0.94
     investing
    0.87
     investments
    0.83
    investment
    0.82
     Investment
    0.80
     invest
    0.80
     invests
    0.79
    Investment
    0.77
     investimento
    0.77
    Investing
    0.75
    Activations Density 0.226%

    No Known Activations