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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words that describe companies, brands and acquisitions

    oai_token-act-pair · gemini-2.0-flash

    retail context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     habet
    -0.56
     occhiali
    -0.53
     förr
    -0.52
    rag
    -0.49
     glab
    -0.48
    acakt
    -0.48
     occidentale
    -0.48
     urch
    -0.46
     Cluj
    -0.46
    unier
    -0.46
    POSITIVE LOGITS
    SharedDtor
    0.88
    Personensuche
    0.74
    ViewFeatures
    0.71
    protoimpl
    0.65
    tagHelperRunner
    0.64
    httphttps
    0.63
    })`
    0.61
     mergeFrom
    0.59
    InstrumentedTest
    0.58
     متعلقه
    0.56
    Activations Density 1.794%

    No Known Activations