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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. 1495
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    INDEX
    Explanations

    terms related to health effects of smoking and dietary recommendations

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

    "consumption", "consuming", and "eating"

    np_acts-logits-general · gemini-2.0-flash

    food consumption and diet

    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
    setOpaque
    -0.52
    LLAB
    -0.51
    geld
    -0.49
    ceny
    -0.49
     Biaya
    -0.48
    Цена
    -0.47
     Charges
    -0.46
    AddTagHelper
    -0.46
     lucro
    -0.46
    PRESA
    -0.46
    POSITIVE LOGITS
     consumption
    1.02
     consuming
    0.99
     consumir
    0.92
     consume
    0.87
     eating
    0.86
     consommation
    0.86
     Consumption
    0.86
     consumed
    0.84
     Consume
    0.82
    Eating
    0.81
    Activations Density 0.253%

    No Known Activations