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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. 10938
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    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
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    No Comments

    Negative Logits
    出版年
    -0.63
     ModelExpression
    -0.60
    Bioaccumulative
    -0.51
    esModule
    -0.50
    ftagPool
    -0.49
     NSCoder
    -0.49
    раздо
    -0.49
    WriteLiteral
    -0.49
    RegressionTest
    -0.48
    
    -0.46
    POSITIVE LOGITS
    gestellt
    0.43
    őle
    0.41
    casio
    0.40
     joão
    0.39
    bourn
    0.39
    quoi
    0.38
     partielle
    0.37
     Daß
    0.37
    参考
    0.37
    An
    0.37
    Activations Density 0.403%

    No Known Activations