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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    language used in medical contexts.

    oai_token-act-pair · gemini-2.0-flash

    medical

    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
    Link
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    No Comments

    Negative Logits
     FetchType
    -0.95
    ^(@)
    -0.81
     aikaa
    -0.67
    Personendaten
    -0.66
     Houſe
    -0.66
     fidé
    -0.66
     nôtre
    -0.66
     régal
    -0.65
     avoient
    -0.64
     Cæsar
    -0.64
    POSITIVE LOGITS
     care
    1.08
     Care
    0.78
    care
    0.74
     cares
    0.70
     CARE
    0.69
    Care
    0.66
     cared
    0.60
     soin
    0.58
    CARE
    0.53
     cuidado
    0.52
    Activations Density 2.953%

    No Known Activations