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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 5914
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    specific automotive models and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/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.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paglinawan
    -0.50
    发表于
    -0.48
     estekak
    -0.47
     الحره
    -0.45
    RectangleBorder
    -0.45
     propOrder
    -0.43
    Становништво
    -0.43
     مرئيه
    -0.41
    sizePolicy
    -0.41
     <=",
    -0.40
    POSITIVE LOGITS
     cars
    0.68
     automobiles
    0.64
     SUVs
    0.63
     automobile
    0.62
     car
    0.62
     automó
    0.59
     maș
    0.56
     motorcycles
    0.54
    รถ
    0.51
     SUV
    0.51
    Activations Density 0.534%

    No Known Activations