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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. 8406
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    Explanations

    content related to fashion layering and style advice

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

    fashion and styling

    np_acts-logits-general · gemini-2.0-flash

    fashion and legal contexts

    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
     createSlice
    -0.46
    IndentedString
    -0.46
    UnusedPrivate
    -0.45
    savevideo
    -0.43
     Provider
    -0.42
     inuti
    -0.40
     שוליים
    -0.39
     Providers
    -0.39
     działa
    -0.38
     Provisions
    -0.38
    POSITIVE LOGITS
     style
    0.79
     casual
    0.79
     outfits
    0.78
     styles
    0.78
     styling
    0.76
     fashionable
    0.74
     outfit
    0.72
     fashion
    0.72
     stylish
    0.72
     chic
    0.70
    Activations Density 0.114%

    No Known Activations