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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. 10820
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    references to specific individuals and methods in the context of renormalization

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
     disambiguazione
    -0.54
     AssemblyCulture
    -0.49
    GEBURTSDATUM
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    亥
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    ValueGenerated
    -0.38
    PopMatrix
    -0.35
    Біографія
    -0.35
    Бахар
    -0.34
     express
    -0.34
    請繼續往下閱讀
    -0.34
    POSITIVE LOGITS
    Ren
    0.70
     Ren
    0.68
     ren
    0.63
     rend
    0.62
     Rena
    0.60
    Rena
    0.57
     Render
    0.57
     REN
    0.57
     Renata
    0.57
     Renderer
    0.56
    Activations Density 0.148%

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