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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 12894
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    Explanations

    references to biochemical processes and molecular components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.66
     betweenstory
    -0.65
    SourceChecksum
    -0.59
     للمعارف
    -0.56
     الرياضيه
    -0.54
    XmlAccessType
    -0.52
    IndentedString
    -0.50
    AddTagHelper
    -0.50
     ویکی‌پدی
    -0.50
     Paglinawan
    -0.49
    POSITIVE LOGITS
     producing
    0.57
    Produces
    0.53
     Producing
    0.51
    producing
    0.49
     productivo
    0.48
    FXMLLoader
    0.46
    Producing
    0.46
     yielding
    0.45
     produces
    0.45
    MLLoader
    0.43
    Activations Density 1.027%

    No Known Activations