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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. 5-RES-JB
    6. 9342
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    email-related prompts and instructions

    oai_token-act-pair · gpt-3.5-turbo

    email-related requests and validations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    imer
    -0.88
    iaries
    -0.75
    mons
    -0.68
    farm
    -0.65
    Thumbnail
    -0.65
    geist
    -0.63
    aimon
    -0.61
    igans
    -0.61
     Bend
    -0.61
    leys
    -0.60
    POSITIVE LOGITS
     Cancel
    0.87
    $$$$
    0.75
    ause
    0.68
     Schwarzenegger
    0.67
     {*
    0.65
     invalid
    0.64
    icol
    0.64
     URL
    0.63
    ername
    0.63
    herry
    0.62
    Activations Density 0.067%

    No Known Activations