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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns of locations, people, and organizations

    oai_token-act-pair · gemini-2.0-flash

    Indian names

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
     تضيفلها
    -0.55
    RegressionTest
    -0.49
    tahankan
    -0.47
    Còn
    -0.47
     Italij
    -0.46
    timbangan
    -0.46
     Romains
    -0.45
    SharedCtor
    -0.45
    fromnode
    -0.44
     resourceCulture
    -0.44
    POSITIVE LOGITS
     Bhai
    0.63
     bhai
    0.57
     Diwali
    0.54
     Puja
    0.54
     Bhag
    0.54
     Masala
    0.52
    ji
    0.52
     Nha
    0.51
     Hye
    0.51
     Jaya
    0.51
    Activations Density 49.584%

    No Known Activations