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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 26694
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    INDEX
    Explanations

    references to types of gowns and dresses

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    gowns, robes, cloaks, veils

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Funny
    -0.54
    Funny
    -0.54
    GetData
    -0.53
    Trichlor
    -0.52
     Tig
    -0.50
     Crunchy
    -0.50
     Stupid
    -0.50
    Dichloro
    -0.49
    merci
    -0.49
     Lucky
    -0.48
    POSITIVE LOGITS
     Gown
    0.90
     gown
    0.85
    gown
    0.70
     gowns
    0.66
     Robe
    0.66
     toekomst
    0.55
     robe
    0.54
    ntlet
    0.50
     modalités
    0.48
     alcuna
    0.48
    Activations Density 0.012%

    No Known Activations