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

    personal pronouns followed closely by auxiliary verbs

    oai_token-act-pair · gemini-2.0-flash

    forms of the verb "have"

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

    have

    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
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    Negative Logits
    must
    -0.91
     Must
    -0.91
    Must
    -0.88
     must
    -0.85
    should
    -0.76
    MUST
    -0.74
    要
    -0.73
     MUST
    -0.71
     moeten
    -0.71
     should
    -0.71
    POSITIVE LOGITS
     having
    1.14
    Have
    1.02
     have
    1.01
     Have
    0.98
    having
    0.96
    Having
    0.95
     HAVING
    0.92
     had
    0.91
     Having
    0.91
    have
    0.89
    Activations Density 1.220%

    No Known Activations