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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10015
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    Explanations

    references to salary and payment structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bele
    -0.32
    vai
    -0.32
    âng
    -0.31
    tower
    -0.29
    igkeit
    -0.28
    inverno
    -0.28
     Pollard
    -0.28
    ze
    -0.27
     Rau
    -0.27
    populate
    -0.27
    POSITIVE LOGITS
     salary
    2.05
     salaries
    1.88
     wages
    1.73
     Salary
    1.71
    salary
    1.66
    Salary
    1.61
     Salaries
    1.55
     remuneration
    1.54
     wage
    1.53
     salaire
    1.49
    Activations Density 0.355%

    No Known Activations