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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 2638
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    specific numerical or quantitative parameters related to medical and scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
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    ContentAsync
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    期刊论文
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    RegressionTest
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     EconPapers
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    ✨:
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     Administrativna
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    TypedDataSet
    -0.50
     geſch
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    /**
    -0.49
    POSITIVE LOGITS
     safeguards
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     adequate
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     sufficient
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     sapat
    0.37
     recommendation
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     safely
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     recommendations
    0.36
     Recommendations
    0.36
    FlowLayout
    0.35
    stddef
    0.35
    Activations Density 0.826%

    No Known Activations