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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 7504
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    Explanations

    terms related to eating and dietary behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ']))
    -0.79
     Prou
    -0.78
     }));
    -0.77
    ρίου
    -0.73
    hii
    -0.73
     Fairchild
    -0.72
     censi
    -0.71
    agrad
    -0.71
    IMI
    -0.70
    simos
    -0.69
    POSITIVE LOGITS
     eat
    1.85
     eaten
    1.70
     eats
    1.67
     EAT
    1.67
     Eat
    1.62
     eating
    1.57
    Eat
    1.54
     ate
    1.48
    eat
    1.46
     Eating
    1.45
    Activations Density 0.066%

    No Known Activations