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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. 5-RES-JB
    6. 15866
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    Explanations

    mentions of people of color

    oai_token-act-pair · gpt-3.5-turbo

    references to marginalized groups, specifically people of color

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Xi
    -0.78
     Niet
    -0.72
    ãĤ´
    -0.72
    WAR
    -0.71
     Nex
    -0.69
    ertodd
    -0.68
    ERG
    -0.68
     Sut
    -0.68
    sg
    -0.67
    chn
    -0.67
    POSITIVE LOGITS
    blind
    0.85
    anguage
    0.83
     minorities
    0.73
     coded
    0.69
     backgrounds
    0.69
     queer
    0.68
     color
    0.67
     slurs
    0.67
     stripes
    0.67
    ="#
    0.65
    Activations Density 0.012%

    No Known Activations