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    3. Gemma-2-2B
    5. 21-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    proper nouns followed by commas or other proper nouns

    oai_token-act-pair · gemini-2.0-flash

    words referring to people or entities

    np_token-act-pair-logits · gpt-4o-mini

    comma

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_21/width_16k/average_l0_13
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.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
     which
    -1.36
    which
    -1.22
     Which
    -1.16
    Which
    -1.15
     WHICH
    -0.99
    hich
    -0.70
     cual
    -0.68
     laquelle
    -0.65
     lesquelles
    -0.59
     которое
    -0.58
    POSITIVE LOGITS
     who
    2.91
    who
    2.25
     Who
    1.89
    Who
    1.88
     quien
    1.84
     quién
    1.67
     whom
    1.53
     quienes
    1.52
    WHO
    1.48
     którzy
    1.43
    Activations Density 1.966%

    No Known Activations