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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 8-GEMMASCOPE-RES-16K
    6. 7571
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    Explanations

    terms related to eating and food consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Prou
    -0.80
     censi
    -0.77
     macro
    -0.72
    IMI
    -0.71
    ']))
    
    -0.71
    ں
    -0.71
     McCullough
    -0.71
     }));
    -0.70
     Fairchild
    -0.70
    hii
    -0.69
    POSITIVE LOGITS
     eat
    1.50
     EAT
    1.45
     Eat
    1.35
     eats
    1.35
     eaten
    1.35
    Eat
    1.26
    eat
    1.21
     ate
    1.21
     eating
    1.21
     Ate
    1.17
    Activations Density 0.080%

    No Known Activations