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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 9168
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    Explanations

    specific restaurant names and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.58
     мәкал
    -0.58
    XmlAccessType
    -0.52
     propOrder
    -0.52
     ویکی‌پدی
    -0.50
    ResumeLayout
    -0.48
    Personendaten
    -0.47
    AndEndTag
    -0.46
    belea
    -0.46
     ModelExpression
    -0.45
    POSITIVE LOGITS
     Restaurant
    0.91
     Bistro
    0.82
     restaurant
    0.81
     Cafe
    0.79
     Lounge
    0.75
    Restaurant
    0.75
     Café
    0.74
     Grill
    0.73
     Restaurante
    0.69
     eatery
    0.69
    Activations Density 0.228%

    No Known Activations