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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. 15726
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    Explanations

    phrases related to the common good or collective well-being

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the welfare and interests of people

    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
     euphem
    -0.63
    Proxy
    -0.63
     Edited
    -0.62
     prelim
    -0.61
    erred
    -0.60
     simplified
    -0.60
     exercises
    -0.59
     dated
    -0.58
     smokes
    -0.58
     rudimentary
    -0.58
    POSITIVE LOGITS
     taxpayers
    1.01
    payers
    0.97
     livelihood
    0.96
    ankind
    0.94
     sake
    0.92
    dden
    0.90
    angering
    0.89
     taxp
    0.89
     humankind
    0.89
     unborn
    0.88
    Activations Density 0.968%

    No Known Activations