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    3. Gemma-2-2B
    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns, especially those related to organizations, institutions, and locations, often in the context of Indian sports and government

    oai_token-act-pair · gemini-2.0-flash

    organizations and institutions

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
    XmlAccessorType
    -0.80
    MessageTagHelper
    -0.77
    webElementXpaths
    -0.74
    تفصیلات
    -0.69
    tangentMode
    -0.67
     ProtoMessage
    -0.67
    Personendaten
    -0.67
    Diweddarwch
    -0.67
     ModelRenderer
    -0.66
    sizeCache
    -0.66
    POSITIVE LOGITS
     تانيه
    0.52
     Waray
    0.47
    PyExc
    0.46
     surla
    0.42
     PopupWindow
    0.42
     viewDidLoad
    0.41
     Audiodateien
    0.40
    uxxxx
    0.38
     Campo
    0.36
    sstelle
    0.35
    Activations Density 1.403%

    No Known Activations