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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. 3-RES-JB
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    Explanations

    words related to financial assistance for individuals with low income

    oai_token-act-pair · gpt-3.5-turbo

    references to low-income individuals and families

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OY
    -0.72
    pload
    -0.71
    aptic
    -0.67
    ovie
    -0.67
    lain
    -0.67
    andal
    -0.67
    vell
    -0.66
    oqu
    -0.66
    umo
    -0.66
     MX
    -0.64
    POSITIVE LOGITS
     earners
    1.39
     income
    1.01
     Income
    1.00
     inequality
    0.92
    income
    0.90
     disparity
    0.83
     incomes
    0.83
     poverty
    0.79
     threshold
    0.77
     percentile
    0.76
    Activations Density 0.013%

    No Known Activations