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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. 7-RES-JB
    11. 13711
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    Explanations

    words related to different types of potential risks or issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health, safety, and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.76
    MQ
    -0.73
     Tos
    -0.67
     Fiscal
    -0.66
     ACTIONS
    -0.63
     Identified
    -0.62
     Ambrose
    -0.62
    raq
    -0.61
    External
    -0.61
     Torrent
    -0.59
    POSITIVE LOGITS
     fodder
    0.77
     oppress
    0.72
    xual
    0.71
    chwitz
    0.69
    amous
    0.65
     bikini
    0.65
     boyfriend
    0.63
    worm
    0.63
     cush
    0.63
     pigeon
    0.62
    Activations Density 1.047%

    No Known Activations