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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 142
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    Explanations

    references to industries and sectors, particularly those related to energy, hospitality, automotive, and healthcare

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prácti
    -0.41
     Einfluß
    -0.41
     agujeros
    -0.38
    Unters
    -0.37
    SharedDtor
    -0.37
     audition
    -0.36
     rodillas
    -0.36
     vizsg
    -0.35
     llorar
    -0.35
     huesos
    -0.35
    POSITIVE LOGITS
     sectors
    0.93
     sector
    0.88
     industry
    0.81
     industries
    0.79
    sectors
    0.76
    sector
    0.76
     Sectors
    0.70
     Sector
    0.68
     Industry
    0.68
     settore
    0.67
    Activations Density 0.227%

    No Known Activations