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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3131
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    Explanations

    proper nouns related to locations and cities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     AssemblyCulture
    -0.71
    Vanjske
    -0.67
    addCriterion
    -0.66
     <>",
    -0.65
     kasarigan
    -0.65
     članak
    -0.65
     Wikimedijinoj
    -0.64
    WithIOException
    -0.64
    InitVars
    -0.64
     հղումներ
    -0.63
    POSITIVE LOGITS
     County
    0.50
     suburb
    0.50
     city
    0.47
     City
    0.46
     town
    0.45
     where
    0.43
     Township
    0.41
     suburbs
    0.41
     county
    0.40
     area
    0.40
    Activations Density 0.369%

    No Known Activations