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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    technical academic writing about forests and land management

    oai_token-act-pair · gemini-2.0-flash

    forest

    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
    Negative Logits
     murale
    -0.55
     aérienne
    -0.49
     læng
    -0.48
     artísticas
    -0.48
    DIPSETTING
    -0.48
     braccio
    -0.47
    Spoljašnje
    -0.47
    Articolo
    -0.46
    },[
    -0.45
    veja
    -0.45
    POSITIVE LOGITS
    abestanden
    0.67
     فريبيس
    0.65
     дописавши
    0.64
    WriteTagHelper
    0.63
     lenker
    0.60
     autorytatywna
    0.59
    ագրություններ
    0.59
    Rohy
    0.59
     Italijanski
    0.59
    adpleegd
    0.58
    Activations Density 0.908%

    No Known Activations