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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words related to river topography mapping and analysis using Lidar.

    oai_token-act-pair · gemini-2.0-flash

    Coastal and riverine environments

    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
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    Negative Logits
    webElementXpaths
    -0.58
    AddTagHelper
    -0.57
     utafitiHapana
    -0.53
    Попис
    -0.51
    :+:
    -0.50
    piram
    -0.50
    ɵ
    -0.49
     AspNetCore
    -0.49
     pinulongan
    -0.49
    ETTI
    -0.48
    POSITIVE LOGITS
    enumi
    0.63
     Enfin
    0.59
    Legături
    0.58
     fusca
    0.58
     dedans
    0.56
    참고
    0.56
     armées
    0.56
     skjø
    0.55
     fVar
    0.53
    fscanf
    0.53
    Activations Density 3.482%

    No Known Activations