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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11456
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    references to major retail companies and their financial implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 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
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    Negative Logits
     disambiguazione
    -0.83
     beginnetje
    -0.79
     Administrativna
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     EconPapers
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    tonsoft
    -0.78
     يتيمه
    -0.76
     transfieras
    -0.75
    enderror
    -0.73
     zwiſchen
    -0.73
    ArrowToggle
    -0.71
    POSITIVE LOGITS
     store
    0.39
     Walmart
    0.38
    Walmart
    0.37
    store
    0.34
     Sears
    0.34
     walmart
    0.33
     stores
    0.31
     mall
    0.28
     shoppers
    0.28
     vol
    0.26
    Activations Density 0.243%

    No Known Activations