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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11377
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    Explanations

    references to specific retailers and their products or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.54
    SourceChecksum
    -0.49
    afficheront
    -0.49
    XmlAccessorType
    -0.46
    GeneratedValue
    -0.45
     الحره
    -0.43
    Jegyzetek
    -0.41
    HtmlAttribute
    -0.40
    RenderAtEndOf
    -0.40
    gründ
    -0.39
    POSITIVE LOGITS
     Walmart
    1.17
    Walmart
    1.06
     Amazon
    1.04
     retailers
    1.03
     stores
    1.03
     Costco
    1.03
     walmart
    1.01
     retailer
    0.98
    Amazon
    0.96
     amazon
    0.94
    Activations Density 0.238%

    No Known Activations