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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5661
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    Explanations

    references to trucks and freight transportation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    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
    -0.54
     educativos
    -0.51
     educativo
    -0.42
     educativas
    -0.42
     convivencia
    -0.42
     restauración
    -0.41
     razonable
    -0.41
     estúdio
    -0.41
     italianos
    -0.40
     aikaa
    -0.40
    POSITIVE LOGITS
     freight
    0.96
     cargo
    0.95
     Logistics
    0.94
     Freight
    0.93
     Cargo
    0.93
     warehouse
    0.93
     logistics
    0.90
     warehousing
    0.88
     truck
    0.88
     warehouses
    0.85
    Activations Density 0.353%

    No Known Activations