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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8369
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    Explanations

    references to automotive vehicles and their market significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    عرِّف
    -0.39
    gensen
    -0.34
     caminhada
    -0.33
    bių
    -0.33
     ireo
    -0.31
     interrom
    -0.31
    Referencies
    -0.31
    Nuorodos
    -0.31
     reutiliz
    -0.29
     Proben
    -0.29
    POSITIVE LOGITS
     car
    1.74
     automobile
    1.74
     cars
    1.74
     vehicle
    1.67
     automotive
    1.64
     automobiles
    1.60
     vehicles
    1.52
     Vehicle
    1.52
     Automobile
    1.47
    Vehicle
    1.46
    Activations Density 0.857%

    No Known Activations