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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. 8-RES-JB
    11. 9857
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    Explanations

    patterns related to stereotypes

    oai_token-act-pair · gpt-3.5-turbo

    references to stereotypes and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptroller
    -0.83
    endment
    -0.81
    rising
    -0.75
    Delivery
    -0.73
    mits
    -0.70
    otos
    -0.69
    auna
    -0.69
    light
    -0.69
    ertodd
    -0.69
    incinn
    -0.69
    POSITIVE LOGITS
     stereotype
    1.05
     stereotypes
    1.04
     stereotyp
    0.98
     prejudice
    0.92
     notions
    0.90
     stigma
    0.88
     trope
    0.86
     tropes
    0.83
     clich
    0.81
     prejudices
    0.81
    Activations Density 0.103%

    No Known Activations