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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 3714
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    Explanations

    references to salaries, wages, and income-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    deliver
    -0.56
     Unger
    -0.54
     Carden
    -0.54
     Niños
    -0.54
    warted
    -0.52
     Cárdenas
    -0.51
     reserve
    -0.51
     Deliver
    -0.51
    enderror
    -0.50
     Kaufmann
    -0.49
    POSITIVE LOGITS
     salary
    1.20
     wages
    1.13
     salaries
    1.04
     wage
    1.02
    salary
    1.00
     Salary
    1.00
    Salary
    0.97
     salaire
    0.91
     sueldo
    0.90
     Wages
    0.89
    Activations Density 0.218%

    No Known Activations