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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 1614
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    Explanations

    references to protective gear and equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.56
     оригіналу
    -0.43
    mainAxisSize
    -0.42
     trattano
    -0.41
    Obrázky
    -0.41
    queryInterface
    -0.41
    terrasse
    -0.40
    RectangleBorder
    -0.40
    uszki
    -0.40
    ConstraintMaker
    -0.39
    POSITIVE LOGITS
     helmet
    1.34
     helmets
    1.23
     gloves
    1.06
    helmet
    1.02
     Helmet
    1.01
    Helmet
    0.98
     Gloves
    0.86
     goggles
    0.86
     armor
    0.85
     Kev
    0.80
    Activations Density 0.385%

    No Known Activations