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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 3866
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    Explanations

    references to automotive and transportation-related elements in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     informée
    -0.64
     Schiffe
    -0.50
     ships
    -0.48
     machines
    -0.48
    ships
    -0.46
    machines
    -0.45
    Ships
    -0.43
     Machines
    -0.42
     máquinas
    -0.41
    cshtml
    -0.40
    POSITIVE LOGITS
     pickup
    0.87
     van
    0.79
     pick
    0.75
     sport
    0.70
     minivan
    0.69
     SUV
    0.64
     Suburban
    0.64
     station
    0.63
     sedan
    0.61
     Pickup
    0.61
    Activations Density 0.382%

    No Known Activations