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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 6248
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    Explanations

    references to sports teams and athletes, particularly in a context involving statements or quotations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    tagHelperRunner
    -0.88
     nakalista
    -0.71
     resourceCulture
    -0.65
    fjspx
    -0.61
    EDEFAULT
    -0.61
    setVerticalGroup
    -0.61
     ddelweddau
    -0.60
    ConstraintMaker
    -0.60
    IntoConstraints
    -0.55
    Rhestr
    -0.54
    POSITIVE LOGITS
     SF
    0.88
     Bay
    0.82
    SF
    0.81
     Sacramento
    0.76
    Bay
    0.73
     bay
    0.73
    Sacramento
    0.72
     BART
    0.71
     Marin
    0.71
     San
    0.70
    Activations Density 0.348%

    No Known Activations