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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 7203
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    keywords related to fashion and clothing events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ścian
    -0.50
     marbre
    -0.44
     imóvel
    -0.44
     plancher
    -0.43
     formação
    -0.41
     zapal
    -0.40
     دعا
    -0.40
     końcu
    -0.40
     amea
    -0.40
    iência
    -0.40
    POSITIVE LOGITS
     fashion
    1.26
    fashion
    1.08
     Fashion
    1.08
    Fashion
    1.03
     wardrobe
    1.00
     FASHION
    0.97
     dress
    0.96
     fashions
    0.94
     styles
    0.93
     clothing
    0.90
    Activations Density 0.418%

    No Known Activations