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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words within a maritime context, potentially related to boats or submarines

    oai_token-act-pair · gemini-2.0-flash

    boats and ships

    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
    Not in Any Lists

    No Comments

    Negative Logits
     للمعارف
    -0.62
    ruptedException
    -0.59
     GetEnumerator
    -0.58
     محفوظة
    -0.58
    UrlResolution
    -0.57
     isInitialized
    -0.57
     CreateTagHelper
    -0.56
    ónimos
    -0.52
    homonymie
    -0.52
    ReusableCell
    -0.51
    POSITIVE LOGITS
     forward
    0.51
     gynhyrchwyd
    0.49
    脚注の使い方
    0.48
     Deber
    0.48
    djangoproject
    0.46
    forward
    0.45
    BASELINE
    0.44
    ToUpdate
    0.44
    risa
    0.44
    Ciudad
    0.43
    Activations Density 0.455%

    No Known Activations