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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9909
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    Explanations

    references to quantities, particularly relating to millions and large numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CascadeType
    -0.80
    Билгалдахарш
    -0.78
    delaire
    -0.68
    InputTagHelper
    -0.67
     nuages
    -0.67
    TagHelper
    -0.66
     Pim
    -0.65
    mentaux
    -0.65
    NewLabel
    -0.64
     stället
    -0.64
    POSITIVE LOGITS
     Million
    0.80
     million
    0.78
     Millionen
    0.76
    Autoritní
    0.75
     lakhs
    0.75
     Millions
    0.73
     McClellan
    0.72
     millioner
    0.71
    百万
    0.70
     McLaugh
    0.70
    Activations Density 0.228%

    No Known Activations