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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 7987
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    Explanations

    references to clothing and sewing activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BufferException
    -0.42
     arşivlendi
    -0.39
     لينك
    -0.38
    __))
    -0.38
    UnusedPrivate
    -0.38
    DataSnapshot
    -0.36
    fromLTRB
    -0.36
     jScrollPane
    -0.36
     ModelExpression
    -0.35
    GeneratedMessage
    -0.35
    POSITIVE LOGITS
     clothing
    2.66
     clothes
    2.56
     garments
    2.42
     dresses
    2.41
     Clothing
    2.38
     dress
    2.34
    Clothing
    2.33
     apparel
    2.31
    clothing
    2.30
     Clothes
    2.28
    Activations Density 1.689%

    No Known Activations