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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. 8-RES-JB
    6. 21858
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    INDEX
    Explanations

    descriptions or mentions of jobs or employment status, specifically focusing on full-time positions

    oai_token-act-pair · gpt-3.5-turbo

    references to full-time employment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.94
    hra
    -0.84
    rosis
    -0.83
    ovember
    -0.75
    ambo
    -0.73
    ramid
    -0.71
    reth
    -0.71
    acid
    -0.69
    romeda
    -0.69
    ̶
    -0.69
    POSITIVE LOGITS
     employment
    0.98
     equivalents
    0.96
     basis
    0.75
     missionary
    0.73
     worker
    0.70
     unemployed
    0.70
     income
    0.69
     missionaries
    0.68
     occupation
    0.68
     equivalent
    0.67
    Activations Density 0.044%

    No Known Activations