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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 7438
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    INDEX
    Explanations

    words related to negative biases or unfair treatment based on preconceived notions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    references to prejudice and bias, particularly in relation to social issues

    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
    Interstitial
    -0.84
    VID
    -0.78
    zech
    -0.76
    adra
    -0.73
    ascus
    -0.72
    sis
    -0.72
    avez
    -0.71
    ODE
    -0.69
    sol
    -0.69
    ctic
    -0.69
    POSITIVE LOGITS
     prejudice
    1.38
     prejud
    1.24
     prejudices
    1.08
    icial
    0.82
     bigot
    0.82
     intolerance
    0.80
     hatred
    0.78
     bigotry
    0.78
    eering
    0.78
    ophobic
    0.78
    Activations Density 0.009%

    No Known Activations