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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. 3265
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    INDEX
    Explanations

    references to clothing or the act of wearing

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

    Tokens associated with clothing and accessories

    np_acts-logits-general · gemini-2.0-flash

    wearing and worn states

    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
    IntoConstraints
    -0.66
    :✨
    -0.62
    contentLoaded
    -0.61
    WebElementEntity
    -0.60
    tableFuture
    -0.60
     initComponents
    -0.59
     kasarigan
    -0.57
    нгред
    -0.55
    Personensuche
    -0.54
    usercontent
    -0.52
    POSITIVE LOGITS
     Wear
    0.61
     wear
    0.59
    Wear
    0.58
     worn
    0.56
     WEAR
    0.51
    wear
    0.50
     masks
    0.45
     wore
    0.45
     wearing
    0.45
     wears
    0.43
    Activations Density 0.074%

    No Known Activations