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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3664
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    Explanations

    numerical data related to dietary diversity and food group classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    関連リンク
    -0.46
     Савезне
    -0.45
    BibitemShut
    -0.43
     تكبرها
    -0.43
     increí
    -0.42
     anún
    -0.41
    ’
    -0.41
     ddelwed
    -0.40
    Betyg
    -0.40
     camiset
    -0.40
    POSITIVE LOGITS
     and
    0.48
     nahilalakip
    0.46
     (
    0.40
    および
    0.37
    及び
    0.36
    、
    0.34
    cticut
    0.34
    的で
    0.33
     \&
    0.32
    (
    0.31
    Activations Density 16.659%

    No Known Activations