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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 10828
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    keywords related to Django models and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ViewInit
    -0.63
    Rujuakan
    -0.57
    脚注の使い方
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    ighborhood
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     Jarvis
    -0.46
    XmlRootElement
    -0.43
     Mechanic
    -0.43
    Бахар
    -0.42
     Perspective
    -0.42
    Tikang
    -0.42
    POSITIVE LOGITS
     oč
    0.41
    rrggbb
    0.38
     kautta
    0.37
    UserScript
    0.36
    SpringBootTest
    0.36
    CharField
    0.35
     ocz
    0.35
    ''');
    0.34
    FilePath
    0.34
     Char
    0.34
    Activations Density 0.305%

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