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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. 8637
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    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
     morning
    -0.90
    morning
    -0.86
     Morning
    -0.82
     morgens
    -0.78
     mornings
    -0.78
     mattino
    -0.77
    Morning
    -0.77
     MORNING
    -0.73
     morgon
    -0.72
     sabah
    -0.70
    POSITIVE LOGITS
     lunch
    0.97
    Lunch
    0.94
     Lunch
    0.91
     LUNCH
    0.83
     noon
    0.82
    lunch
    0.80
    pm
    0.80
     luncheon
    0.77
    noon
    0.77
     pm
    0.75
    Activations Density 0.265%

    No Known Activations