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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. 9-RES-JB
    11. 20266
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    Explanations

    words related to challenging situations or problems, particularly when repeated or in a series

    oai_token-act-pair · gpt-3.5-turbo

    references to various crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.93
    rosse
    -0.85
    ells
    -0.82
    alties
    -0.79
    ipedia
    -0.77
    eele
    -0.76
    ateur
    -0.75
    oji
    -0.75
    vag
    -0.71
    Īè
    -0.71
    POSITIVE LOGITS
     aver
    1.07
     engulf
    1.03
     plag
    1.02
     gripping
    0.93
     unfolding
    0.90
     crisis
    0.89
     epidemic
    0.83
     involving
    0.81
     brewing
    0.81
     ridden
    0.80
    Activations Density 0.041%

    No Known Activations