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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 5676
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    Explanations

    terms related to wages and compensation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sessionId
    -0.43
     pitchers
    -0.42
     customized
    -0.42
     polluted
    -0.41
     pitch
    -0.41
     Leech
    -0.41
     Workplace
    -0.41
    GetItem
    -0.40
     cycling
    -0.40
    IANE
    -0.40
    POSITIVE LOGITS
     wages
    0.96
     wage
    0.92
     Welfare
    0.91
     welfare
    0.90
    welfare
    0.85
    Welfare
    0.82
     Wage
    0.82
     nonprofit
    0.82
     Wages
    0.82
     WELFARE
    0.81
    Activations Density 0.061%

    No Known Activations