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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 3251
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    INDEX
    Explanations

    references to personal experiences with sewing and garment-making

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

    Sewing and clothing

    np_acts-logits-general · gemini-2.0-flash

    clothing fashion and wear

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Asamblea
    -0.44
     Behör
    -0.41
     Administración
    -0.41
     amea
    -0.41
     Estadual
    -0.40
     amenaza
    -0.39
     olímp
    -0.39
     Alimentos
    -0.39
     Palacios
    -0.38
    annelse
    -0.37
    POSITIVE LOGITS
     garments
    0.63
    parsedMessage
    0.62
     garment
    0.61
    wear
    0.57
     lingerie
    0.53
    StructEnd
    0.52
    fashion
    0.50
     Garment
    0.48
     womens
    0.48
    PCell
    0.48
    Activations Density 0.117%

    No Known Activations