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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. 3-RES-JB
    6. 10848
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    INDEX
    Explanations

    phrases related to financial planning for retirement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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 @ 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
    ifest
    -0.74
    iPhone
    -0.72
    CV
    -0.71
    inx
    -0.71
    insk
    -0.71
    ombie
    -0.71
     coord
    -0.70
    Atl
    -0.69
    asonic
    -0.68
    omever
    -0.68
    POSITIVE LOGITS
     retirement
    0.85
     pensions
    0.81
     lounge
    0.76
     Retirement
    0.76
    spective
    0.75
     Skydragon
    0.75
     che
    0.73
     retire
    0.71
     pension
    0.70
     arrangements
    0.69
    Activations Density 0.009%

    No Known Activations