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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 38423
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    Explanations

    terms related to laundry and clothing care activities

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

    folding, ironing, or wrinkling

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ArrayAdapter
    -0.37
    BeginInit
    -0.36
    specifier
    -0.36
    ExecuteReader
    -0.36
    idemiology
    -0.36
    Xna
    -0.35
    AndEndTag
    -0.35
     FetchType
    -0.34
     Extracts
    -0.34
     buoyant
    -0.33
    POSITIVE LOGITS
     fold
    1.32
     folds
    1.29
     wrinkle
    1.26
     folding
    1.23
     wrinkles
    1.18
     ironing
    1.17
     crease
    1.17
     Fold
    1.16
     creases
    1.16
     folded
    1.13
    Activations Density 0.093%

    No Known Activations