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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. 8912
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    INDEX
    Explanations

    terms related to fashion awareness and trends

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

    sewing and fashion

    np_acts-logits-general · gemini-2.0-flash

    fashion and style

    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
    awtextra
    -0.32
     aastal
    -0.30
     probable
    -0.29
    äude
    -0.29
     Slight
    -0.28
    andidate
    -0.28
     spett
    -0.27
    夾
    -0.27
     (((
    -0.27
     Zi
    -0.26
    POSITIVE LOGITS
    Fashion
    0.62
    FASHION
    0.62
    rungsseite
    0.62
    ValueStyle
    0.61
    ably
    0.61
    RTCK
    0.59
     Fashion
    0.59
     surla
    0.59
    able
    0.59
    WithIOException
    0.57
    Activations Density 0.067%

    No Known Activations