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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. 11031
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    references to female motocross riders and their competitions

    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
     carriage
    -0.71
     coach
    -0.70
     Carriage
    -0.69
    carriage
    -0.69
    coach
    -0.64
     COACH
    -0.63
     coaches
    -0.60
    findpost
    -0.60
     carriages
    -0.59
     Coach
    -0.58
    POSITIVE LOGITS
     оригіналу
    0.61
     vulgaires
    0.60
    kháu
    0.59
     تضيفلها
    0.59
    ORE
    0.48
    posables
    0.47
     condomínio
    0.47
     Défense
    0.46
     Poplar
    0.46
    esac
    0.46
    Activations Density 0.344%

    No Known Activations