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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. 2-RES-JB
    11. 2440
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    Explanations

    mentions of women, especially when paired with the term "gentlemen" and in a social setting

    oai_token-act-pair · gpt-3.5-turbo

    references to "ladies" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osta
    -0.71
    avanaugh
    -0.70
    Reviewed
    -0.65
     Hind
    -0.65
    aneously
    -0.64
    rises
    -0.64
    ebook
    -0.63
    arta
    -0.63
    asta
    -0.63
    illin
    -0.63
    POSITIVE LOGITS
     ladies
    1.02
     Ladies
    0.92
    women
    0.86
     gentlemen
    0.79
    folk
    0.77
    ãĤ¤ãĥĪ
    0.74
    men
    0.71
     diapers
    0.71
    ieve
    0.71
     Jagu
    0.70
    Activations Density 0.009%

    No Known Activations