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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. 15158
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    INDEX
    Explanations

    topics related to fashion, clothing production, and the cultural implications of sewing

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

    sewing and clothes

    np_acts-logits-general · gemini-2.0-flash

    fashion and 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
     hydrauli
    -0.45
    gerät
    -0.45
     cheminée
    -0.43
     montaż
    -0.42
     Anlage
    -0.41
     resolução
    -0.41
    Litter
    -0.41
     Anlagen
    -0.40
     formação
    -0.40
     Untersch
    -0.40
    POSITIVE LOGITS
     fashion
    1.36
     clothing
    1.31
     garment
    1.28
     garments
    1.28
     Fashion
    1.22
     clothes
    1.21
    fashion
    1.20
    Fashion
    1.15
     apparel
    1.12
     Clothing
    1.10
    Activations Density 0.587%

    No Known Activations