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    3. Gemma-2-2B
    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    positive sentiment words and intensifiers like "very" or "quite".

    oai_token-act-pair · gemini-2.0-flash

    say "article"

    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
    AddTagHelper
    -1.05
    sizeCache
    -0.98
     disambiguazione
    -0.92
     itſelf
    -0.92
     يتيمه
    -0.90
    esModule
    -0.90
     propOrder
    -0.89
     ་་
    -0.89
     initComponents
    -0.86
     nahilalakip
    -0.85
    POSITIVE LOGITS
     a
    1.09
     as
    0.92
     an
    0.91
     the
    0.70
     p
    0.61
     co
    0.59
    ↵
    0.58
     some
    0.57
     m
    0.56
     A
    0.56
    Activations Density 8.639%

    No Known Activations