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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8988
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    INDEX
    Explanations

    clothing and descriptions of attire

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

    Types of clothes/garments

    np_acts-logits-general · gemini-2.0-flash

    colors and types of clothing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.73
    httphttps
    -0.70
     فريبيس
    -0.69
    TypedDataSet
    -0.68
    :+:
    -0.67
     EconPapers
    -0.66
     MainAxisSize
    -0.59
    醐
    -0.59
    Numerology
    -0.54
     desmotivaciones
    -0.54
    POSITIVE LOGITS
     shirt
    1.02
     dress
    1.01
     jeans
    0.93
     shirts
    0.92
     clothes
    0.90
     shorts
    0.89
     dresses
    0.88
     pants
    0.85
     clothing
    0.82
     garments
    0.82
    Activations Density 0.271%

    No Known Activations