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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 10396
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    Explanations

    references to transportation and vehicles used for moving people and goods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WebElementEntity
    -0.44
    béco
    -0.43
    fjspx
    -0.43
     الرياضيه
    -0.42
    Czytaj
    -0.42
    ercizio
    -0.40
    localctx
    -0.40
    DMETHOD
    -0.39
    Tikang
    -0.38
     ویکی‌پدیای
    -0.38
    POSITIVE LOGITS
     transporting
    0.72
     transportation
    0.64
     transport
    0.62
     transporta
    0.57
    transport
    0.57
     transporte
    0.57
     transports
    0.57
     transported
    0.55
     traslado
    0.55
    transportation
    0.54
    Activations Density 0.249%

    No Known Activations