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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12091
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    Explanations

    information related to automobile specifications and performance characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    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
    -0.57
    webElementXpaths
    -0.51
    Datuak
    -0.50
     चीज़ों
    -0.50
     estekak
    -0.49
     Paglinawan
    -0.49
    collana
    -0.47
    Personendaten
    -0.47
    protoimpl
    -0.47
    mettere
    -0.47
    POSITIVE LOGITS
     automobile
    0.67
     automobiles
    0.67
     car
    0.66
     cars
    0.66
     automaker
    0.65
     vehicle
    0.58
     chassis
    0.58
    Automobile
    0.57
     Automobiles
    0.55
     dealerships
    0.54
    Activations Density 0.353%

    No Known Activations