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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. 8807
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    INDEX
    Explanations

    items of clothing and their characteristics

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

    protective headgear worn

    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
     JpaRepository
    -0.47
    Charming
    -0.43
     levure
    -0.40
    理石
    -0.40
     <=",
    -0.40
    NameInMap
    -0.39
    lámpara
    -0.39
     Charming
    -0.39
     poveznice
    -0.39
     vectorielle
    -0.39
    POSITIVE LOGITS
     wearer
    0.96
     breathable
    0.86
     protective
    0.84
     worn
    0.80
     wearing
    0.77
     garment
    0.75
     wear
    0.74
     outerwear
    0.72
     wears
    0.71
    protective
    0.71
    Activations Density 0.043%

    No Known Activations