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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. 14181
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    elements related to programming and data management in a sports context

    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
    UserScript
    -0.51
     QtCore
    -0.47
    <?
    -0.46
    QtCore
    -0.44
    PullParser
    -0.43
     Autorisations
    -0.40
    interprétation
    -0.39
    IContainer
    -0.39
    interpr
    -0.39
    VideoCapture
    -0.37
    POSITIVE LOGITS
     Spring
    0.69
    Spring
    0.68
     spring
    0.63
     JpaRepository
    0.63
    spring
    0.63
     SPRING
    0.61
     contextLoads
    0.60
     Jpa
    0.59
     Optional
    0.57
     Lombok
    0.57
    Activations Density 0.127%

    No Known Activations