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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14538
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    Explanations

    details related to dining experiences and social interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    meals

    np_acts-logits-general · gemini-2.0-flash

    meals and drinks

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    følgelig
    -0.55
    tagext
    -0.54
    pinMode
    -0.54
     contribué
    -0.52
    ]")]
    -0.49
     Auflage
    -0.48
    InStock
    -0.48
     expéri
    -0.48
     lær
    -0.47
     stø
    -0.47
    POSITIVE LOGITS
     lunch
    1.93
     breakfast
    1.82
     dinner
    1.56
    lunch
    1.48
     Lunch
    1.46
     coffee
    1.43
    breakfast
    1.41
     Breakfast
    1.35
    Lunch
    1.35
     brunch
    1.32
    Activations Density 0.163%

    No Known Activations