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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14526
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    Explanations

    culinary terms and specific food dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eat
    -0.46
     soup
    -0.42
     comiendo
    -0.41
    muerzo
    -0.40
     Ejecutivo
    -0.40
     volantes
    -0.40
     goreng
    -0.39
     eating
    -0.39
     ăn
    -0.39
     cuchillo
    -0.39
    POSITIVE LOGITS
     chicken
    0.65
     Infórmanos
    0.55
    ➟
    0.52
     tenders
    0.52
     breast
    0.52
    chicken
    0.49
    Jeografia
    0.49
     mushrooms
    0.48
     Chicken
    0.47
    LLocation
    0.47
    Activations Density 0.181%

    No Known Activations