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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 13-GEMMASCOPE-RES-16K
    6. 7874
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    references to sewing and clothing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prosecutor
    -0.53
     parseFrom
    -0.47
    Spenden
    -0.47
     miniaturka
    -0.46
     sequência
    -0.46
     jScrollPane
    -0.45
     Keane
    -0.45
    richter
    -0.44
    有事
    -0.44
    encu
    -0.44
    POSITIVE LOGITS
     clothes
    0.93
     clothing
    0.92
    Clothes
    0.90
    Dress
    0.88
     Clothes
    0.86
     dress
    0.85
     garment
    0.85
    Clothing
    0.85
    clothes
    0.84
     Clothing
    0.83
    Activations Density 0.263%

    No Known Activations