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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7571
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    references to the Warburg effect and its association with metabolism in the context of disease, particularly in relation to lung conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.58
     Mancha
    -0.52
     SLOW
    -0.49
     chou
    -0.48
     Consist
    -0.48
     char
    -0.48
     Furious
    -0.48
     препратки
    -0.48
     Educate
    -0.48
     coti
    -0.47
    POSITIVE LOGITS
    burg
    0.79
    ArgsConstructor
    0.75
    RectangleBorder
    0.73
    burgs
    0.67
    berg
    0.66
    BERG
    0.60
    \{\\
    0.58
    出版年
    0.58
    valueOf
    0.56
     ModelExpression
    0.55
    Activations Density 2.009%

    No Known Activations