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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 7374
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    Explanations

    references to vehicles, specifically buses and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "bus" or its variants

    np_acts-logits-general · gemini-2.0-flash

    bus

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 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
     eingeb
    -0.94
     Fitzpatrick
    -0.78
    jspx
    -0.73
     AssemblyProduct
    -0.71
    ressum
    -0.70
    斯坦
    -0.70
     Munt
    -0.68
    mybatis
    -0.67
    APAN
    -0.66
    Chambers
    -0.66
    POSITIVE LOGITS
     buses
    1.02
     Buses
    0.96
     BUS
    0.89
     Busan
    0.83
     Bus
    0.83
     bus
    0.82
    buses
    0.81
     Merz
    0.80
    Obrigada
    0.80
     Busse
    0.79
    Activations Density 0.525%

    No Known Activations