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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. 7-RES-JB
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    Explanations

    occurrences of both men and women mentioned together

    oai_token-act-pair · gpt-3.5-turbo

    the repeated phrase "men and women" in various contexts

    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
     Prol
    -0.82
    RP
    -0.72
    actory
    -0.70
    ciation
    -0.68
    ommel
    -0.66
    nt
    -0.64
    enza
    -0.63
    VERTISEMENT
    -0.61
    quote
    -0.60
    Contents
    -0.60
    POSITIVE LOGITS
     minorities
    0.85
     mothers
    0.83
     children
    0.77
    children
    0.73
     infants
    0.72
     adolescents
    0.69
     women
    0.69
     lesbians
    0.68
     toddlers
    0.68
     daughters
    0.67
    Activations Density 0.164%

    No Known Activations