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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 10084
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    INDEX
    Explanations

    descriptions of fashion and clothing details

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

    clothing and accessories

    np_acts-logits-general · gemini-2.0-flash

    footwear and clothing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dressed
    -0.52
     Dressed
    -0.50
     vêtement
    -0.47
     vestir
    -0.44
     clothed
    -0.44
    dressing
    -0.44
    dressed
    -0.43
     vestito
    -0.43
     uniformes
    -0.42
    dress
    -0.42
    POSITIVE LOGITS
     shoes
    0.78
     EconPapers
    0.77
     Shoes
    0.68
     sandals
    0.67
     slippers
    0.67
     boots
    0.66
    Shoes
    0.63
     sneakers
    0.63
     earrings
    0.63
    shoes
    0.62
    Activations Density 0.143%

    No Known Activations