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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 14317
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    Explanations

    references to transportation and logistics, particularly involving railroads and freight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     initComponents
    -0.56
     estúdio
    -0.39
     educativos
    -0.38
    MenuInflater
    -0.38
    ennifer
    -0.36
     educativas
    -0.36
     initWithFrame
    -0.35
     StatefulWidget
    -0.35
     convivencia
    -0.34
     препратки
    -0.34
    POSITIVE LOGITS
     warehouse
    0.90
     freight
    0.89
     warehouses
    0.84
     warehousing
    0.81
     Freight
    0.80
     shippers
    0.78
     Logistics
    0.78
     cargo
    0.77
     logistics
    0.75
     Warehouse
    0.75
    Activations Density 0.168%

    No Known Activations