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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words that represent prepositions, conjunctions, and pronouns

    oai_token-act-pair · gemini-2.0-flash

    being

    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
    aarrggbb
    -0.72
    ftagPool
    -0.58
     createState
    -0.58
    tableFuture
    -0.53
     puissiez
    -0.52
     BeautifulSoup
    -0.52
    mishes
    -0.51
    ग्री
    -0.51
    ítulo
    -0.50
    PerformLayout
    -0.50
    POSITIVE LOGITS
     being
    2.19
    being
    1.91
    Being
    1.75
     Being
    1.66
     BEING
    1.63
     étant
    1.30
     becoming
    1.21
     sendo
    1.17
     fiind
    1.11
     siendo
    1.10
    Activations Density 7.822%

    No Known Activations