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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. 2983
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    INDEX
    Explanations

    references to clothing and attire

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

    Following the word "wear" or a variation of "wear"

    np_acts-logits-general · gemini-2.0-flash

    clothing and accessories worn

    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
     Enix
    -0.58
    INSEE
    -0.56
     disambiguazione
    -0.54
    Grüsse
    -0.50
     Allez
    -0.48
    leneck
    -0.47
    Gret
    -0.46
    ulink
    -0.46
     Socialist
    -0.45
    нгред
    -0.45
    POSITIVE LOGITS
     Wear
    0.84
     wear
    0.82
    Wear
    0.75
     WEAR
    0.72
    wearing
    0.72
     worn
    0.72
     wearing
    0.72
     wears
    0.69
    wear
    0.68
     wore
    0.68
    Activations Density 0.059%

    No Known Activations