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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    mentions of pasta, especially different kinds and the context it is used in

    oai_token-act-pair · gemini-2.0-flash

    Pasta and food

    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
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    No Comments

    Negative Logits
    الحياه
    -0.61
    WireFormatLite
    -0.57
    μάτων
    -0.53
    Tembelea
    -0.52
     pulumi
    -0.52
    UnsafeEnabled
    -0.52
     GetEnumerator
    -0.49
    Хьажоргаш
    -0.48
     estekak
    -0.48
    spit
    -0.47
    POSITIVE LOGITS
     Fet
    0.66
     useCallback
    0.66
     Bo
    0.65
    Bo
    0.55
     chitarra
    0.55
    Fet
    0.54
    odio
    0.53
     LAS
    0.53
    tagHelperRunner
    0.52
     fet
    0.52
    Activations Density 1.347%

    No Known Activations