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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 1461
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    Explanations

    descriptions of clothing, particularly focusing on types and attributes of garments worn by individuals

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

    Wearing clothes or attire

    np_acts-logits-general · gemini-2.0-flash

    what is worn

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     فريبيس
    -0.77
    TypedDataSet
    -0.75
    RenderAtEndOf
    -0.74
    AndEndTag
    -0.68
     EconPapers
    -0.67
     disambiguazione
    -0.66
    InjectAttribute
    -0.66
     betweenstory
    -0.65
    +#+
    -0.65
    новниш
    -0.63
    POSITIVE LOGITS
     clothing
    1.07
     dress
    1.05
     clothes
    1.05
     wearing
    1.02
     attire
    0.98
     garments
    0.93
     wear
    0.93
     shirt
    0.92
     wears
    0.90
     shirts
    0.88
    Activations Density 0.260%

    No Known Activations