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

    words like "who," "how," or "which" that begin questions, especially in Spanish and English

    oai_token-act-pair · gemini-2.0-flash

    Foreign language text

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_3/width_16k/average_l0_54
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.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
    MigrationBuilder
    -0.60
    NameInMap
    -0.56
     виправивши
    -0.54
     Tenemos
    -0.50
    ArrowToggle
    -0.48
     Einleitung
    -0.48
     Ajoutez
    -0.46
     bellissima
    -0.46
     Seulement
    -0.46
    Serde
    -0.45
    POSITIVE LOGITS
     which
    0.95
    whom
    0.94
     whom
    0.93
     Which
    0.88
     Whom
    0.87
     WHICH
    0.84
    whence
    0.81
    Whom
    0.81
    which
    0.81
    Which
    0.78
    Activations Density 0.425%

    No Known Activations