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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. 6-RES-JB
    11. 575
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    Explanations

    references to social security

    oai_token-act-pair · gpt-3.5-turbo

    references to Social Security and related social programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.87
    ãĥ´
    -0.80
    GMT
    -0.80
    âĸ¬âĸ¬
    -0.76
    à
    -0.73
    phas
    -0.73
    ²¾
    -0.72
     ener
    -0.70
    wcs
    -0.69
    semble
    -0.65
    POSITIVE LOGITS
     Disability
    1.17
     Administration
    1.09
     disability
    0.96
     Retirement
    0.91
    eteria
    0.91
     parole
    0.91
     Loan
    0.83
     payroll
    0.82
     Armory
    0.79
     payments
    0.77
    Activations Density 0.028%

    No Known Activations