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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 4141
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    Explanations

    references to sewing and clothing

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

    Textiles and sewing

    np_acts-logits-general · gemini-2.0-flash

    textile, sewing, and clothing

    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
     amea
    -0.42
    밌
    -0.42
     propOrder
    -0.42
     للاسماء
    -0.41
     cuchar
    -0.40
     dégustation
    -0.40
     salpic
    -0.39
     cejas
    -0.39
     Behör
    -0.38
     насељу
    -0.38
    POSITIVE LOGITS
     textile
    1.05
     textiles
    1.02
     garment
    1.01
     Textile
    0.97
     garments
    0.96
     fabrics
    0.95
     clothes
    0.90
     Textiles
    0.90
     Textil
    0.88
     textil
    0.88
    Activations Density 0.477%

    No Known Activations