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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55234
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    INDEX
    Explanations

    references to meals and dining experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    meal times

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     ffilmiau
    -0.54
    Numerade
    -0.52
     poichè
    -0.51
     feroit
    -0.50
    Děkuji
    -0.50
    PreferredItem
    -0.50
    DispatchToProps
    -0.50
    ⪢
    -0.49
     nonUne
    -0.49
    AutoField
    -0.49
    POSITIVE LOGITS
     lunch
    0.75
     dinner
    0.69
    Dinner
    0.63
     Dinner
    0.62
     Lunch
    0.60
    Lunch
    0.59
     LUNCH
    0.58
    dinner
    0.56
     DINNER
    0.54
     supper
    0.51
    Activations Density 0.018%

    No Known Activations