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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    mentions of characters in a specific japanese series

    oai_token-act-pair · gemini-2.0-flash

    Super Sentai series

    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
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     neceffary
    -0.65
    scriptcase
    -0.63
     uſ
    -0.62
    BASEPATH
    -0.61
     ſtre
    -0.61
     themſelves
    -0.60
     pleaſure
    -0.59
     Roskov
    -0.59
     purpoſe
    -0.59
    InjectAttribute
    -0.58
    POSITIVE LOGITS
    ))){
    0.61
     Terr
    0.59
     Turn
    0.57
    ')));
    0.52
     */;
    0.51
    ']){
    0.49
    '>";
    0.49
    HasAnnotation
    0.49
    ']:
    0.49
     turn
    0.48
    Activations Density 1.928%

    No Known Activations