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

    language related to machine learning processes, data, large numbers, efficiency, and outcomes

    oai_token-act-pair · gemini-2.0-flash

    out

    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
    WriteTagHelper
    -0.56
     صوتيه
    -0.52
     tearDown
    -0.48
    DialogInterface
    -0.45
    ότη
    -0.44
     protoimpl
    -0.44
    VIAF
    -0.44
    appi
    -0.43
    IntoConstraints
    -0.43
    ätten
    -0.42
    POSITIVE LOGITS
     out
    3.66
    out
    2.77
     Out
    2.70
    Out
    2.69
     OUT
    2.41
    OUT
    2.09
    outs
    1.91
     outs
    1.87
    アウト
    1.70
    出
    1.63
    Activations Density 7.490%

    No Known Activations