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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. 9781
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    Explanations

    references to military personnel and their ranks or statuses

    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
    tagHelperRunner
    -0.79
    rungsseite
    -0.78
    IsContent
    -0.68
    MigrationBuilder
    -0.60
    webElementXpaths
    -0.58
    AndEndTag
    -0.58
    DeleteBehavior
    -0.54
    ือง
    -0.52
    Autoritní
    -0.51
    kegaard
    -0.50
    POSITIVE LOGITS
     military
    1.34
     Military
    1.25
    Military
    1.23
    military
    1.20
     Army
    1.19
     army
    1.17
     MILITARY
    1.13
     militar
    1.10
     militare
    1.10
    Army
    1.09
    Activations Density 0.371%

    No Known Activations