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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 8339
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    Explanations

    information related to income distribution, tax rates, and economic inequality, particularly focusing on the top 1% of earners and the redistribution of wealth

    oai_token-act-pair · gpt-3.5-turbo

    references to the top income earners and taxation issues related to wealth distribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.75
    uberty
    -0.73
    wake
    -0.71
    resy
    -0.67
     Interpret
    -0.66
     Amateur
    -0.64
    love
    -0.63
     Daylight
    -0.62
     Signs
    -0.61
    Dialogue
    -0.60
    POSITIVE LOGITS
     earners
    1.50
     wealthiest
    1.26
     percentile
    1.20
     incomes
    1.12
     richest
    1.11
     income
    1.05
     quint
    1.04
     taxed
    0.95
    ocrats
    0.93
     households
    0.91
    Activations Density 0.139%

    No Known Activations