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    Explanations

    references to socio-economic factors like deprivation and middle class

    oai_token-act-pair · gemini-2.0-flash

    socio-economic status

    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
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    Negative Logits
    Geplaatst
    -0.66
     Class
    -0.55
    Spoilers
    -0.54
    Class
    -0.53
     Grade
    -0.53
    Grade
    -0.52
     клас
    -0.51
     Tark
    -0.51
     Aler
    -0.49
    djangoproject
    -0.49
    POSITIVE LOGITS
     חיצוניים
    0.81
     Normdatei
    0.48
    :+:
    0.48
     quin
    0.46
     resourceCulture
    0.45
    __()
    0.44
    agers
    0.44
    CommonModule
    0.44
    tigen
    0.43
     PackageManager
    0.43
    Activations Density 3.373%

    No Known Activations