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    scientific writing talking about agonist/antagonist binding with receptor molecules and drug effects, especially with [3H]

    oai_token-act-pair · gemini-2.0-flash

    H

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_7/width_16k/average_l0_70
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Negative Logits
    AndEndTag
    -0.72
    EndProject
    -0.68
     Italijanski
    -0.67
     noDo
    -0.65
    Diwedd
    -0.64
    Tikang
    -0.62
     CreateTagHelper
    -0.61
     propOrder
    -0.61
    IUrlHelper
    -0.59
     Vikipedi
    -0.59
    POSITIVE LOGITS
    saraba
    0.60
    aroos
    0.48
    nambuco
    0.46
    valents
    0.45
    [@
    0.43
    wid
    0.43
    chige
    0.43
    乍
    0.43
    annten
    0.42
     Runner
    0.42
    Activations Density 2.102%

    No Known Activations