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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11891
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    references to healthcare and nutrition-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    -------
    -0.43
    Viited
    -0.41
     ddelweddau
    -0.40
     Paglinawan
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     VIDEOTAPE
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    IVEREF
    -0.35
    WriteTagHelper
    -0.35
    Aiheesta
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    Bronnen
    -0.34
    paramref
    -0.33
    POSITIVE LOGITS
     uſed
    0.50
    LookAnd
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     raiſ
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    SharedDtor
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    Jeografia
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     obſ
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    yar
    0.45
    зулта
    0.45
    utro
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     Exactos
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    Activations Density 0.673%

    No Known Activations