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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 99040
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    Explanations

    references to clothing items, specifically shirts

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

    shirt

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     Gregorio
    -0.55
     Damian
    -0.51
     Basu
    -0.51
     Goa
    -0.50
     Moran
    -0.50
     Vay
    -0.50
    »)
    -0.50
     Longo
    -0.49
     Moreau
    -0.49
     GLA
    -0.49
    POSITIVE LOGITS
     shirt
    2.03
     Shirt
    2.00
    Shirt
    1.77
     shirts
    1.73
    shirt
    1.70
     Shirts
    1.57
    Shirts
    1.52
    shirts
    1.41
    hirt
    1.23
     camiseta
    1.01
    Activations Density 0.003%

    No Known Activations