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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. 11-RES-JB
    11. 9404
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    Explanations

    keywords related to gender in sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "women" and "men" in the context of sports events

    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
     proposition
    -0.59
     offline
    -0.59
     parents
    -0.59
     ped
    -0.58
     academ
    -0.56
     puppies
    -0.55
     Kaine
    -0.55
     males
    -0.54
     husbands
    -0.54
     spouses
    -0.54
    POSITIVE LOGITS
    ucha
    0.86
    ysc
    0.83
    cius
    0.83
    acements
    0.81
    ghai
    0.78
    acing
    0.77
    OPA
    0.73
    endez
    0.72
    zhen
    0.72
    omon
    0.72
    Activations Density 0.081%

    No Known Activations