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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. 3-RES-JB
    11. 3882
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    Explanations

    mentions of minority groups or individuals in a potentially negative context

    oai_token-act-pair · gpt-3.5-turbo

    references to minority groups and their experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hran
    -0.92
    lov
    -0.91
    atche
    -0.85
    æ©
    -0.78
    sis
    -0.78
    hin
    -0.78
    ensional
    -0.77
    DCS
    -0.75
     Draper
    -0.72
    rol
    -0.72
    POSITIVE LOGITS
     minority
    1.00
     minorities
    1.00
     populations
    0.88
     genders
    0.86
     males
    0.84
     groups
    0.82
     females
    0.75
     sexes
    0.74
     peoples
    0.74
     quarters
    0.73
    Activations Density 0.016%

    No Known Activations