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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 7411
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    INDEX
    Explanations

    activities related to eating and food consumption

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

    about consuming or ingesting

    np_acts-logits-general · gemini-2.0-flash

    eating and consumption

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GEBURTSDATUM
    -0.72
    verwijspagina
    -0.62
     Condi
    -0.56
     Chan
    -0.56
     linh
    -0.53
    Template
    -0.50
    template
    -0.49
    appcompat
    -0.49
     necesar
    -0.48
    <em>
    -0.47
    POSITIVE LOGITS
     eaten
    1.04
     eat
    1.02
     eats
    0.95
     eating
    0.91
     EAT
    0.90
    Eat
    0.88
    absorbed
    0.87
     ate
    0.86
     Eat
    0.86
     chew
    0.85
    Activations Density 0.107%

    No Known Activations