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    5. 0-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the word "subject" and other words that can refer to a topic being discussed

    oai_token-act-pair · gemini-2.0-flash

    subject

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.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
    тки
    -0.52
     captioned
    -0.52
    yelitis
    -0.50
    gonic
    -0.49
     eius
    -0.49
    avaient
    -0.49
     laborales
    -0.48
    onuclear
    -0.48
    bori
    -0.47
    Portale
    -0.47
    POSITIVE LOGITS
     Efq
    0.84
     tartalomajánló
    0.79
     AssemblyTitle
    0.75
     ſche
    0.71
     Jefus
    0.66
     Theſe
    0.64
    RenderAtEndOf
    0.64
    ']))
    0.61
    ThroughAttribute
    0.61
    luiting
    0.60
    Activations Density 0.576%

    No Known Activations