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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 18
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    Explanations

    quantitative analysis and statistics related to medical studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     모든
    -0.40
     prêtres
    -0.38
    是一种
    -0.37
     chi̍t
    -0.36
    是一個
    -0.36
     BioLib
    -0.35
    是一个
    -0.35
    是个
    -0.34
     mxArray
    -0.34
    是一種
    -0.33
    POSITIVE LOGITS
     respectively
    3.53
    respectively
    3.03
     respectivamente
    2.92
     respectivement
    2.56
     rispet
    2.31
     соответственно
    2.19
     respec
    2.19
     respective
    2.05
     RESPECT
    1.89
    分别
    1.85
    Activations Density 1.442%

    No Known Activations