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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 15263
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    Explanations

    references to meals or dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    |')
    -0.71
    tritte
    -0.69
    ']?>
    -0.69
    delwed
    -0.69
    }),
    -0.67
    Darius
    -0.66
    ukone
    -0.65
    )$}
    -0.65
     ungef
    -0.63
    DataProvider
    -0.62
    POSITIVE LOGITS
     dinner
    1.30
    dinner
    1.22
     DINNER
    1.12
     Dinner
    1.08
     dinners
    1.05
     breakfast
    1.03
    Dinner
    1.01
     meal
    0.96
     supper
    0.95
     lunch
    0.92
    Activations Density 0.026%

    No Known Activations