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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 1154
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    Explanations

    references to large quantities or counts, particularly in millions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 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
     GenerationType
    -0.67
     ſtate
    -0.60
    BrowserModule
    -0.56
    SourceChecksum
    -0.54
    ſelf
    -0.53
    Tembelea
    -0.53
    XmlAccessorType
    -0.52
     архивлан
    -0.51
     ſta
    -0.51
     Biôgrafia
    -0.51
    POSITIVE LOGITS
     million
    1.11
     miljoen
    0.71
     MILLION
    0.69
     millón
    0.69
     milion
    0.68
    million
    0.67
     Million
    0.64
     Millionen
    0.60
     millones
    0.59
    Million
    0.57
    Activations Density 0.262%

    No Known Activations