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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17779
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    INDEX
    Explanations

    terms related to education, skills, degrees, jobs, and income

    oai_token-act-pair · gpt-3.5-turbo

    topics related to education and employment statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emonium
    -0.85
    £ı
    -0.84
    Tes
    -0.79
     Euph
    -0.74
    USS
    -0.73
     Vapor
    -0.73
    canon
    -0.72
    Pand
    -0.72
     Spy
    -0.71
    MET
    -0.69
    POSITIVE LOGITS
     occupations
    1.03
     Disability
    0.96
     disability
    0.94
     literacy
    0.88
     caregivers
    0.87
    overty
    0.86
     dementia
    0.84
     vocational
    0.83
     retirement
    0.82
     healthier
    0.82
    Activations Density 0.619%

    No Known Activations