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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 6903
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    references to materials and their properties in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    :✨
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    хьтан
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    Aholisi
    -0.61
    RenderAtEndOf
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    IndentedString
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    MessageOf
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     kasarigan
    -0.57
     Roskov
    -0.53
    tagHelperRunner
    -0.50
     Wikimedijinoj
    -0.49
    POSITIVE LOGITS
    ity
    0.65
     Mater
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     изготовления
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     culture
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    0.42
     primas
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     料
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    stwie
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     medica
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     Material
    0.38
    Activations Density 0.127%

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