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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5729
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    Explanations

    cooking techniques and processes related to preparing food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     serde
    -0.45
     Италијани
    -0.44
     arşivlendi
    -0.43
    素质
    -0.41
    ranked
    -0.41
     estekak
    -0.41
    hitheatre
    -0.38
     TextAppearance
    -0.38
    postIndex
    -0.37
     ferien
    -0.37
    POSITIVE LOGITS
     golden
    0.60
     browned
    0.56
     tender
    0.56
     crisp
    0.54
     crispy
    0.52
     firm
    0.52
     crunchy
    0.52
    golden
    0.50
     browning
    0.47
     GOLDEN
    0.47
    Activations Density 0.180%

    No Known Activations