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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. 20-GEMMASCOPE-RES-131K
    11. 100155
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    Explanations

    features related to support and cushioning in footwear and apparel

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

    athletic apparel and footwear

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.59
    Personendaten
    -0.44
     öğren
    -0.41
    établissement
    -0.40
    +#+
    -0.39
     poiv
    -0.38
     domov
    -0.38
     Taktlose
    -0.38
     partida
    -0.37
     ufficio
    -0.37
    POSITIVE LOGITS
    Autoritní
    0.47
    AsUp
    0.46
     footwear
    0.45
     shoe
    0.41
    addCriterion
    0.41
    APORE
    0.41
     Vikipedi
    0.40
     cushioned
    0.39
     Nike
    0.39
     addictive
    0.39
    Activations Density 0.005%

    No Known Activations