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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 9979
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    Explanations

    references to clothing and garments in various contexts

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

    clothing and apparel items being worn or described.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    تقاوى
    -0.64
    BufferException
    -0.52
    Gön
    -0.50
    execSQL
    -0.46
     שוליים
    -0.46
    XMLSchema
    -0.45
     arşivlendi
    -0.44
     propOrder
    -0.44
     MainAxisSize
    -0.43
    CPtr
    -0.43
    POSITIVE LOGITS
     clothes
    2.09
     clothing
    2.02
     dress
    1.91
     Clothes
    1.80
     Clothing
    1.73
    Clothes
    1.71
    Clothing
    1.67
     Dress
    1.65
    clothes
    1.65
     dresses
    1.62
    Activations Density 0.241%

    No Known Activations