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    3. Gemma-2-2B
    5. 24-GEMMASCOPE-TRANSCODER-16K
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    This neuron appears to activate on a mix of HTML table formatting tags, formula notation, and Java documentation, making it hard to create a focused summary

    oai_token-act-pair · gemini-2.0-flash

    code/markup

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ,
    -0.81
    -
    -0.75
    .
    -0.74
    (
    -0.73
    )
    -0.73
    "
    -0.72
    ;
    -0.69
      
    -0.69
    :
    -0.68
     
    -0.66
    POSITIVE LOGITS
     themſelves
    0.90
     auroit
    0.88
    RegistryLite
    0.86
    MigrationBuilder
    0.84
     pouvoit
    0.84
     étoit
    0.84
     myſelf
    0.82
    NameInMap
    0.82
     avoient
    0.81
     Theſe
    0.81
    Activations Density 1.828%

    No Known Activations