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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. 7310
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    key questions regarding multicultural marketing strategies

    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
     BoxFit
    -0.56
    AndEndTag
    -0.54
    تقاوى
    -0.50
    脚注の使い方
    -0.49
    rungsseite
    -0.48
     peggio
    -0.48
    tagHelperRunner
    -0.48
    embolso
    -0.47
     intermédiaire
    -0.47
     okuyayım
    -0.46
    POSITIVE LOGITS
     activations
    0.80
     activation
    0.77
     brand
    0.71
     consumer
    0.71
     executions
    0.68
     Brand
    0.67
     creative
    0.66
     shopper
    0.65
    Brand
    0.65
     consumers
    0.64
    Activations Density 0.252%

    No Known Activations