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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 7467
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    references to compensation, wages, and payments in a legal or employment context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    epresidente
    -0.37
    CppMethod
    -0.37
    팎
    -0.36
    ंदीखरीदारी
    -0.35
    rasser
    -0.34
     cancelamento
    -0.34
     transférez
    -0.33
     rellen
    -0.32
    المشاركات
    -0.32
     Pollard
    -0.32
    POSITIVE LOGITS
     salary
    2.44
     wages
    2.31
     salaries
    2.27
     wage
    2.13
     Salary
    2.03
    salary
    1.97
    Salary
    1.91
     salaire
    1.88
     pay
    1.87
     Wages
    1.86
    Activations Density 0.372%

    No Known Activations