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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1154
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    Explanations

    references to meals and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     carottes
    -0.57
     délais
    -0.56
     Baumwolle
    -0.55
    ]^{-
    -0.53
    RegressionTest
    -0.52
    Lycka
    -0.52
    complexContent
    -0.51
    oader
    -0.51
     cuivre
    -0.51
    zember
    -0.51
    POSITIVE LOGITS
     meal
    2.19
     meals
    2.09
     eat
    1.99
     eating
    1.97
     dining
    1.88
     cuisine
    1.86
     food
    1.84
     culinary
    1.84
     eats
    1.84
     dinner
    1.84
    Activations Density 2.411%

    No Known Activations