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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    verbs used in conversation or argument where one human is trying to percieve or influence another

    oai_token-act-pair · gemini-2.0-flash

    Effectively

    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
     proper
    -0.84
    proper
    -0.82
     Proper
    -0.77
     correct
    -0.71
    correct
    -0.71
    protoimpl
    -0.65
     ReactDOM
    -0.61
    Proper
    -0.57
     guter
    -0.57
    Correct
    -0.56
    POSITIVE LOGITS
     effectively
    1.70
    effectively
    1.51
     Effectively
    1.22
    Effec
    0.96
     effectually
    0.83
     produ
    0.73
     honestly
    0.69
     efectivamente
    0.69
    honestly
    0.68
     efficacement
    0.66
    Activations Density 12.286%

    No Known Activations