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    3. Gemma-2-2B
    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    a mix of legal/political terms like 'citizenship", number sequences and also general words that appear in formal writing such as "description"

    oai_token-act-pair · gemini-2.0-flash

    say "the"

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
    expandindo
    -0.76
     People
    -0.75
     Peoples
    -0.72
     Citizens
    -0.69
     Soldiers
    -0.69
     Representative
    -0.69
     Sailors
    -0.67
     Servants
    -0.66
    <bos>
    -0.65
     Meksiku
    -0.65
    POSITIVE LOGITS
    featureID
    0.92
     Budget
    0.64
     Law
    0.57
     Online
    0.56
     Disk
    0.54
     Gas
    0.52
     Past
    0.50
     Bottom
    0.50
     Bag
    0.49
    LLocation
    0.49
    Activations Density 8.276%

    No Known Activations