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    5. 19-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    descriptions of being engrossed in make-believe or immersive situations

    oai_token-act-pair · gemini-2.0-flash

    immersion

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.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
    сылкі
    -0.67
    Jereo
    -0.65
    tagHelperRunner
    -0.65
    </tfoot>
    -0.57
    Havolalar
    -0.55
    __(/*!
    -0.55
     CreateTagHelper
    -0.54
     Reproduce
    -0.54
    gridx
    -0.53
    ViewImports
    -0.53
    POSITIVE LOGITS
     immersion
    0.96
     immersed
    0.85
     immers
    0.80
     Immersion
    0.80
     immerse
    0.75
     engrossed
    0.75
     Immer
    0.69
     absorbed
    0.68
     flow
    0.68
     concentration
    0.68
    Activations Density 0.687%

    No Known Activations