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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. 6312
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    prevalence of specific health metrics and demographic characteristics in study groups

    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
     Chwiliwch
    -0.64
    󠁴
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     cebola
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    Външни
    -0.57
     PeEnEo
    -0.57
     AssemblyCulture
    -0.57
     demografica
    -0.56
     setEmail
    -0.56
    HtmlAttribute
    -0.56
     ajudá
    -0.54
    POSITIVE LOGITS
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    5
    0.36
    <bos>
    0.36
    ↵↵
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    0.35
    ↵
    0.35
    NOS
    0.35
    SAFE
    0.34
    Activations Density 0.475%

    No Known Activations