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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. 11-RES-JB
    6. 10893
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    Explanations

    personal data and sensitive information

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to personal and sensitive data handling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ModLoader
    -0.83
    arsity
    -0.73
    igham
    -0.70
     McDonnell
    -0.70
    ajor
    -0.67
    Style
    -0.65
    Grad
    -0.65
     Tub
    -0.63
     Wad
    -0.62
    sym
    -0.61
    POSITIVE LOGITS
     stored
    1.15
     collected
    1.10
     unlawfully
    1.06
     encrypted
    1.03
     trove
    0.98
     belonging
    0.97
     anonym
    0.95
     harvested
    0.93
     privacy
    0.92
    onym
    0.91
    Activations Density 0.171%

    No Known Activations