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    5. 19-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    segments of text with a high density of connector words like "and", "that", "all", "to", and "as", and also imperative verbs like "clean"

    oai_token-act-pair · gemini-2.0-flash

    any

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.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
    zsche
    -0.49
    AlterField
    -0.47
    wijl
    -0.46
    ambung
    -0.46
     poucos
    -0.45
    ANDUM
    -0.45
    INTA
    -0.45
    SupportActionBar
    -0.45
    PLEMENT
    -0.44
    gley
    -0.43
    POSITIVE LOGITS
     anything
    2.78
     anyone
    2.66
     any
    2.61
    anything
    2.45
     Anything
    2.44
     anybody
    2.41
    Anything
    2.39
    Any
    2.39
    anyone
    2.31
     Any
    2.30
    Activations Density 3.574%

    No Known Activations