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    5. 21-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    words associated with law enforcement activities or criminal narratives

    oai_token-act-pair · gemini-2.0-flash

    variations of the word 'follow'

    np_token-act-pair-logits · gpt-4o-mini

    follow

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_21/width_16k/average_l0_13
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Negative Logits
     autorytatywna
    -0.86
    MigrationBuilder
    -0.77
    FontOfSize
    -0.65
    ItemBackground
    -0.63
     виправивши
    -0.62
     étoient
    -0.61
    verwijspagina
    -0.60
     chimie
    -0.57
    expandindo
    -0.56
    }>;
    -0.56
    POSITIVE LOGITS
     follow
    1.80
    follow
    1.68
     follows
    1.66
     Follow
    1.57
    Follow
    1.56
     FOLLOW
    1.48
    follows
    1.41
     following
    1.39
    FOLLOW
    1.36
     followed
    1.33
    Activations Density 1.774%

    No Known Activations