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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    sentences containing political and governmental contexts

    oai_token-act-pair · gemini-2.0-flash

    president

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.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
     Prime
    -1.26
    Prime
    -1.19
     prime
    -1.09
     PRIME
    -1.05
    Minister
    -0.98
    prime
    -0.96
     minister
    -0.93
     Minister
    -0.93
    minister
    -0.92
     Premier
    -0.88
    POSITIVE LOGITS
     president
    1.19
    president
    1.11
     President
    1.11
    President
    1.05
     presidents
    1.02
     Präsident
    0.96
     presidente
    0.91
     Presidents
    0.91
     président
    0.88
     PRESIDENT
    0.84
    Activations Density 1.390%

    No Known Activations