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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words and phrases related to corporate earnings and medical studies

    oai_token-act-pair · gemini-2.0-flash

    Miscellaneous/Varied contexts

    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
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    No Comments

    Negative Logits
     Recall
    -0.76
     Dist
    -0.75
     Sleep
    -0.74
     Underwear
    -0.73
     Pants
    -0.73
     Tackle
    -0.72
     Strangers
    -0.72
     Plastic
    -0.72
     Personal
    -0.71
     Dress
    -0.71
    POSITIVE LOGITS
    No
    0.19
     u
    0.17
     irmã
    0.16
    2
    0.16
     rainha
    0.16
    j
    0.15
     irmão
    0.15
    1
    0.15
     Dumnezeu
    0.14
     uk
    0.14
    Activations Density 8.406%

    No Known Activations