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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 1134
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    INDEX
    Explanations

    references to fashion and style trends

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

    attire or dressing

    np_acts-logits-general · gemini-2.0-flash

    dressing and accessories

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SizeMode
    -0.59
    gebob
    -0.57
     Bentham
    -0.52
    intang
    -0.51
     Gutenberg
    -0.51
     greed
    -0.51
    τρι
    -0.50
     Distribution
    -0.50
    KommentareTeilen
    -0.50
    MenuInflater
    -0.49
    POSITIVE LOGITS
     casual
    1.05
    casual
    0.95
    Casual
    0.94
     Casual
    0.93
     chic
    0.81
     outfits
    0.80
     outfit
    0.78
     wardrobe
    0.77
     casually
    0.77
     formal
    0.76
    Activations Density 0.110%

    No Known Activations