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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. 2830
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    phrases related to product features and performance in athletic apparel

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Wooden
    -0.34
     sécurisé
    -0.34
     ensino
    -0.34
    encils
    -0.34
     tacón
    -0.33
    SafeAreaView
    -0.33
    Portály
    -0.32
    hiasan
    -0.32
     sostu
    -0.31
     laiton
    -0.31
    POSITIVE LOGITS
     breathable
    0.75
    parsedMessage
    0.74
     يتيمه
    0.73
     breat
    0.71
     Gore
    0.71
    Gore
    0.67
     wick
    0.66
     fabrics
    0.63
    findpost
    0.63
     waterproof
    0.61
    Activations Density 0.167%

    No Known Activations