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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 4533
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    Explanations

    mentions related to transportation infrastructure and equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rshire
    -0.54
     aang
    -0.52
     iterate
    -0.50
    Autoritní
    -0.49
     Teacher
    -0.48
     Teachers
    -0.48
    TestingModule
    -0.47
    ArrowToggle
    -0.47
    TypedArray
    -0.47
     teachers
    -0.47
    POSITIVE LOGITS
     airport
    0.84
     airports
    0.83
     Terminals
    0.82
     congestion
    0.82
    thâu
    0.79
     throughput
    0.78
     Customs
    0.78
     logistics
    0.77
     Logistics
    0.76
     freight
    0.76
    Activations Density 0.480%

    No Known Activations