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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. 6-RES-JB
    6. 22308
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    INDEX
    Explanations

    words related to financial planning and retirement savings

    oai_token-act-pair · gpt-3.5-turbo

    references to retirement and related concepts

    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
    ²¾
    -0.75
     coord
    -0.74
    ombie
    -0.71
    insk
    -0.71
    inx
    -0.66
    %]
    -0.65
    ás
    -0.65
    ¶ħ
    -0.64
    iPhone
    -0.64
    alys
    -0.63
    POSITIVE LOGITS
     Disability
    0.84
     Savings
    0.81
     pensions
    0.81
     che
    0.78
    spective
    0.77
     Income
    0.77
     income
    0.76
     Retirement
    0.76
     Pension
    0.74
     disability
    0.74
    Activations Density 0.015%

    No Known Activations