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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. 0-RES-JB
    11. 15659
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    Explanations

    descriptions of events or occasions where people gather together

    oai_token-act-pair · gpt-3.5-turbo

    references to social assemblies or meetings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Signed
    -0.69
     Coach
    -0.67
     externalToEVAOnly
    -0.65
    lez
    -0.65
    witz
    -0.64
    Continue
    -0.62
    stick
    -0.61
    erton
    -0.61
     Syndrome
    -0.60
     PLUS
    -0.60
    POSITIVE LOGITS
     gathering
    3.62
     Gathering
    2.46
     gather
    2.03
     gathered
    1.90
     gatherings
    1.81
     gathers
    1.78
     collecting
    1.64
    athering
    1.61
     meeting
    1.46
     assembling
    1.39
    Activations Density 0.013%

    No Known Activations