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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. 0-RES-JB
    6. 8536
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    INDEX
    Explanations

    words related to challenging or dispelling stereotypes and myths

    oai_token-act-pair · gpt-3.5-turbo

    references to stereotypes and discussions about their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ea
    -0.79
     avail
    -0.74
     Liquid
    -0.71
     liquid
    -0.68
    ener
    -0.66
     Aur
    -0.65
     pending
    -0.65
    live
    -0.64
    pload
    -0.64
     authorized
    -0.62
    POSITIVE LOGITS
     stereotypes
    3.57
     stereotype
    3.47
     stereotyp
    2.67
     stereotypical
    2.66
     clich
    2.09
     caricature
    1.94
     tropes
    1.93
     misconceptions
    1.78
     prejudices
    1.71
     cliché
    1.71
    Activations Density 0.026%

    No Known Activations