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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1688
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    Explanations

    names of notable individuals and references to pop culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    transQ
    -0.76
     nakalista
    -0.76
    StructEnd
    -0.73
    IsMutable
    -0.69
     EconPapers
    -0.68
    IUrlHelper
    -0.67
     betweenstory
    -0.65
    HtmlAttribute
    -0.64
    IsContent
    -0.60
    PerformLayout
    -0.59
    POSITIVE LOGITS
     mennes
    0.37
     Danemark
    0.36
     dignité
    0.36
     nuages
    0.35
     humanidade
    0.34
     among
    0.32
     and
    0.31
     monasterio
    0.31
     trône
    0.31
     poussière
    0.31
    Activations Density 0.442%

    No Known Activations