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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 82589
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    Explanations

    statements and opinions related to value and consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    lavish extravagant luxury

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للمعارف
    -0.42
     Савезне
    -0.42
    AccessorTable
    -0.34
     faster
    -0.32
     rychle
    -0.31
     Tind
    -0.29
    IVEREF
    -0.29
     quicker
    -0.29
    setNew
    -0.29
     mee
    -0.28
    POSITIVE LOGITS
     lavish
    1.16
     extravagance
    1.08
     extravagant
    1.00
     sparing
    0.90
     spared
    0.88
     extravag
    0.88
     spl
    0.82
    豪華
    0.79
     opulent
    0.78
     overkill
    0.77
    Activations Density 0.048%

    No Known Activations