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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 772
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    INDEX
    Explanations

    references to clothing and fashion

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

    clothes or clothing

    np_acts-logits-general · gemini-2.0-flash

    clothes and clothing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ब्रेकडाउन
    -0.66
     parseFrom
    -0.59
     miniaturka
    -0.55
     propOrder
    -0.55
    CPtr
    -0.54
    EndInit
    -0.50
     ponta
    -0.48
    Beijos
    -0.48
    სქოლიო
    -0.47
     EconPapers
    -0.47
    POSITIVE LOGITS
     clothing
    1.57
     clothes
    1.55
     Clothes
    1.43
     Clothing
    1.41
    Clothing
    1.38
    Clothes
    1.38
    Dress
    1.35
     dress
    1.33
    clothing
    1.32
     Dress
    1.30
    Activations Density 0.173%

    No Known Activations