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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. 8-RES-JB
    11. 4374
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    Explanations

    phrases related to financial planning and saving for retirement

    oai_token-act-pair · gpt-3.5-turbo

    references to retirement and associated concepts

    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
    ²¾
    -0.72
    ás
    -0.71
     coord
    -0.71
    ombie
    -0.69
     traff
    -0.68
    eller
    -0.64
    %]
    -0.64
    onde
    -0.64
    insk
    -0.63
    ours
    -0.63
    POSITIVE LOGITS
     pensions
    0.80
     Income
    0.80
     Disability
    0.78
    spective
    0.77
     Savings
    0.76
     lounge
    0.75
     savings
    0.75
     income
    0.75
     pension
    0.74
     Pension
    0.74
    Activations Density 0.020%

    No Known Activations