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    3. Gemma-2-2B
    5. 23-GEMMASCOPE-TRANSCODER-16K
    7. 10037
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    INDEX
    Explanations

    tokens representing numbers and car descriptions

    oai_token-act-pair · gemini-2.0-flash

    car brands

    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
    Negative Logits
    WireFormatLite
    -0.68
    enterOuterAlt
    -0.60
    الحياه
    -0.58
    makeConstraints
    -0.56
    WriteTagHelper
    -0.54
    picasso
    -0.52
    ConstraintMaker
    -0.51
    ----</
    -0.50
    ghalaya
    -0.50
     يتيمه
    -0.50
    POSITIVE LOGITS
     Ford
    1.13
     Audi
    1.13
     Dodge
    1.03
    Ford
    1.03
     FORD
    0.99
     Opel
    0.96
     Nissan
    0.94
     VW
    0.94
     Vauxhall
    0.92
     Infiniti
    0.92
    Activations Density 3.728%

    No Known Activations