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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3424
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    Explanations

    references to historical events and entities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    rungsseite
    -0.70
    titleMargin
    -0.60
    EndInit
    -0.59
     pleaſure
    -0.54
    webElementXpaths
    -0.52
    setVerticalGroup
    -0.52
    tagHelperRunner
    -0.52
     ſch
    -0.52
    LookAnd
    -0.51
    GEBURTS
    -0.51
    POSITIVE LOGITS
     damals
    2.44
    当时
    2.23
    當時
    2.22
     тогда
    2.11
     then
    2.05
    当時は
    2.02
    当時
    2.02
     allora
    1.97
     damaligen
    1.96
    当时的
    1.94
    Activations Density 0.976%

    No Known Activations