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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 7716
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    Explanations

    specific naval and transportation-related terms, particularly those associated with ships and vessels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LabelTagHelper
    -0.58
    cshtml
    -0.56
    cipline
    -0.55
    wyn
    -0.54
    chitis
    -0.51
    webElementGuid
    -0.50
    ulink
    -0.49
    pexpr
    -0.48
     Rtl
    -0.48
    onedDateTime
    -0.48
    POSITIVE LOGITS
     ambulance
    0.89
     ambulances
    0.87
     trucks
    0.80
     vans
    0.78
     vehicles
    0.77
     truck
    0.75
    vehicles
    0.74
     boats
    0.73
     buses
    0.71
     wagons
    0.71
    Activations Density 0.202%

    No Known Activations