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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. 9691
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    INDEX
    Explanations

    fashion-related advice and trends

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

    clothing style and fashion

    np_acts-logits-general · gemini-2.0-flash

    dressed like, fancy, outfits

    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
    RegressionTest
    -0.38
    Personendaten
    -0.36
    OrBuilder
    -0.36
     Provider
    -0.35
     Roskov
    -0.35
    __":
    -0.35
    makeatletter
    -0.34
     cale
    -0.34
    σμα
    -0.34
     provider
    -0.33
    POSITIVE LOGITS
     style
    0.88
     styling
    0.88
     stijl
    0.85
     outfits
    0.84
     stylish
    0.83
     Style
    0.83
    Dressing
    0.82
     sart
    0.81
     fashion
    0.81
     vestir
    0.81
    Activations Density 0.157%

    No Known Activations