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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3523
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    Explanations

    discussions about clothing quality and affordability

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    UnusedPrivate
    -0.51
     فريبيس
    -0.47
     للاسماء
    -0.42
     caneca
    -0.42
    ruptedException
    -0.42
     entour
    -0.42
     jaula
    -0.41
     imóvel
    -0.41
    webElementXpaths
    -0.40
    rxjs
    -0.40
    POSITIVE LOGITS
     fashion
    1.73
     clothing
    1.55
     Fashion
    1.54
    fashion
    1.48
    Fashion
    1.44
     garments
    1.41
     garment
    1.40
     clothes
    1.36
     FASHION
    1.34
     wardrobe
    1.33
    Activations Density 0.557%

    No Known Activations