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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5016
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    Explanations

    references to clothing and fashion

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

    clothes or clothing

    np_acts-logits-general · gemini-2.0-flash

    worn clothes and attire

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VolleyError
    -0.55
     resultCode
    -0.54
    pandora
    -0.50
     Fanning
    -0.47
     ponta
    -0.45
     sonre
    -0.43
    xions
    -0.43
    jaciół
    -0.43
     RemoteException
    -0.43
     rift
    -0.43
    POSITIVE LOGITS
     garment
    0.80
     clothing
    0.72
    Clothes
    0.70
     clothes
    0.69
     Clothes
    0.68
    Clothing
    0.68
     garments
    0.68
     Clothing
    0.65
    Dress
    0.65
     одежда
    0.64
    Activations Density 0.379%

    No Known Activations