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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 6531
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    references to dietary intake and energy levels in relation to various health metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.50
     Baer
    -0.42
     BIBSYS
    -0.42
     czeka
    -0.39
     Launch
    -0.38
     hugged
    -0.38
     жда
    -0.38
    NSIndexPath
    -0.38
    ggak
    -0.37
     kiss
    -0.37
    POSITIVE LOGITS
     calories
    0.68
     Calories
    0.58
    calorie
    0.53
    Calories
    0.53
     calorie
    0.52
    GEBURTSDATUM
    0.52
    calories
    0.52
     nahilalakip
    0.51
     calorías
    0.51
     المعيارى
    0.49
    Activations Density 0.299%

    No Known Activations