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    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    first person pronouns and verbs like "was" and "were" at the start of sentences that describe something, possibly design and painting of models

    oai_token-act-pair · gemini-2.0-flash

    I

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.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
    ंदीखरीदारी
    -0.92
    tonsoft
    -0.87
    ConstraintMaker
    -0.87
     صوتيه
    -0.87
    évaluateur
    -0.86
     AssemblyCulture
    -0.85
    aarrggbb
    -0.84
     AspNetCore
    -0.83
    AndEndTag
    -0.82
     فريبيس
    -0.81
    POSITIVE LOGITS
     bu
    0.62
     built
    0.53
    참고
    0.50
     fired
    0.50
     Bu
    0.50
     think
    0.48
     soaked
    0.48
     unver
    0.44
     stripped
    0.43
    yszcz
    0.43
    Activations Density 2.286%

    No Known Activations