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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    descriptions of people and their professions, especially in a historical context.

    oai_token-act-pair · gemini-2.0-flash

    famous people

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.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
    ResponseWriter
    -0.52
     păr
    -0.52
     cucchia
    -0.52
    MLLoader
    -0.51
     garrafa
    -0.49
     vermelhas
    -0.49
     umana
    -0.48
     deschis
    -0.48
     raffredd
    -0.48
     apă
    -0.47
    POSITIVE LOGITS
     himſelf
    0.73
    awtextra
    0.72
     lingu
    0.67
    tingu
    0.61
     theore
    0.61
     myſelf
    0.61
     themſelves
    0.60
    tagHelperRunner
    0.59
     poly
    0.59
     exiled
    0.58
    Activations Density 3.703%

    No Known Activations