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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    many disparate things, but mostly words modifying nouns like adjectives or prepositions

    oai_token-act-pair · gemini-2.0-flash

    there

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
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    Negative Logits
    Erreferentziak
    -0.60
    thâu
    -0.52
    XmlAccessorType
    -0.52
    argout
    -0.51
    ----</
    -0.51
    atecas
    -0.50
     hear
    -0.50
     here
    -0.50
    Jäh
    -0.49
    EndTag
    -0.48
    POSITIVE LOGITS
     there
    3.36
    there
    2.72
     THERE
    2.45
    There
    2.30
     There
    2.28
    THERE
    2.06
     هناك
    1.66
    theres
    1.46
     theres
    1.43
     thither
    1.36
    Activations Density 3.420%

    No Known Activations