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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 12490
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    Explanations

    references to railroad operations and transport logistics, particularly concerning freight and surcharges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RenderAtEndOf
    -0.53
    CppMethod
    -0.50
     surla
    -0.50
    titleMargin
    -0.49
    laken
    -0.49
    ğından
    -0.46
    ostomy
    -0.45
    Activités
    -0.43
    enderror
    -0.42
    telse
    -0.42
    POSITIVE LOGITS
     freight
    0.68
     cargo
    0.65
    Freight
    0.59
     Freight
    0.59
     Cargo
    0.58
     shippers
    0.57
    Cargo
    0.55
     shipments
    0.54
     cargoes
    0.54
     shipping
    0.54
    Activations Density 0.356%

    No Known Activations