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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 11453
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    Explanations

    references to meals and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    íritu
    -0.45
    ACHUSET
    -0.37
     major
    -0.35
     tessuto
    -0.35
     store
    -0.34
    iertamente
    -0.34
    prägt
    -0.34
    braio
    -0.34
     youth
    -0.34
     tissue
    -0.34
    POSITIVE LOGITS
    Dinner
    0.57
    dinner
    0.56
     dinner
    0.52
     dinners
    0.52
     Dinner
    0.51
     DINNER
    0.50
     للاسماء
    0.48
    WindowConstants
    0.47
    RegressionTest
    0.46
     supper
    0.45
    Activations Density 0.141%

    No Known Activations