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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10469
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    Explanations

    references to food quality and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EconPapers
    -0.46
     Proctor
    -0.37
     bes
    -0.36
    꿨
    -0.35
     McCabe
    -0.35
     Schäfer
    -0.35
     спо
    -0.35
     Ponce
    -0.34
    esseurs
    -0.34
    *********/
    -0.33
    POSITIVE LOGITS
     Мексичка
    0.78
     dinner
    0.66
     dishes
    0.65
    bootstrapcdn
    0.64
    dishes
    0.63
     buffet
    0.61
    RenderAtEndOf
    0.60
     CommandType
    0.59
     dinners
    0.59
    HostException
    0.58
    Activations Density 0.109%

    No Known Activations