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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    uses of the verb "have" along with other words with positive sentiment

    oai_token-act-pair · gemini-2.0-flash

    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_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
     يتيمه
    -0.67
    ]<<
    -0.50
    abestanden
    -0.50
     linkovi
    -0.49
    Tembelea
    -0.49
     الاطلاع
    -0.49
    ]:
    -0.48
    __(/*!
    -0.47
    őle
    -0.46
     way
    -0.45
    POSITIVE LOGITS
     any
    0.73
    IntoConstraints
    0.60
     pleaſure
    0.60
     Independiente
    0.60
    RuleContext
    0.59
     beards
    0.58
     ſeveral
    0.56
    Any
    0.55
     ſtand
    0.55
     Jefus
    0.54
    Activations Density 10.171%

    No Known Activations