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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. 8983
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    Explanations

    military ranks and promotions

    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
    Kanpo
    -0.52
    <bos>
    -0.49
     Restra
    -0.46
    esia
    -0.45
     Abonnez
    -0.45
    kod
    -0.43
    uteria
    -0.42
     Tân
    -0.42
    новниш
    -0.42
    収
    -0.41
    POSITIVE LOGITS
     Vice
    0.74
     colonel
    0.69
     principal
    0.69
    HostException
    0.68
     Assistant
    0.68
     Principal
    0.68
     Associate
    0.67
     Professor
    0.66
     professor
    0.66
     vice
    0.66
    Activations Density 0.311%

    No Known Activations