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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. 7-RES-JB
    6. 4160
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    Explanations

    people's names, specifically "Kathleen"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those named Kathleen, and mentions of confidentiality

    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
    opia
    -0.90
    runner
    -0.87
    nels
    -0.85
    ocom
    -0.84
    abe
    -0.80
    resses
    -0.80
    alter
    -0.78
    ologies
    -0.77
    urity
    -0.75
    alls
    -0.74
    POSITIVE LOGITS
    illac
    0.75
     Mechdragon
    0.67
     Wynne
    0.67
     chloride
    0.64
     icing
    0.63
     sworn
    0.62
    RAW
    0.62
     ILCS
    0.61
     Mamm
    0.61
     Quarterly
    0.60
    Activations Density 0.088%

    No Known Activations