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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 6709
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    Explanations

    specific numerical specifications related to vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cars
    -0.70
     vehicles
    -0.65
     car
    -0.65
     vehicle
    -0.63
     Automobile
    -0.61
     Vehicles
    -0.61
    cars
    -0.60
     Vehicle
    -0.57
     hatchback
    -0.56
     sedan
    -0.55
    POSITIVE LOGITS
    mergeFrom
    0.74
    RuleContext
    0.69
     ujednoznacz
    0.65
    addCriterion
    0.65
     doInBackground
    0.64
     &___
    0.64
     nahilalakip
    0.63
    contentLoaded
    0.62
     Paglinawan
    0.60
    uxxxx
    0.60
    Activations Density 0.260%

    No Known Activations