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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. 4-RES-JB
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    INDEX
    Explanations

    negative or harmful social 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ayan
    -0.85
    inth
    -0.78
    rique
    -0.74
    sterdam
    -0.70
    hner
    -0.69
    ighth
    -0.69
    packing
    -0.68
    ositories
    -0.66
    ucha
    -0.66
    rity
    -0.66
    POSITIVE LOGITS
     stereotyp
    1.12
     stereotypes
    1.02
     stereotype
    1.01
    rities
    0.91
     portrayal
    0.83
     stereotypical
    0.83
     clich
    0.80
     depictions
    0.79
     caricature
    0.78
    è¦ļéĨĴ
    0.77
    Activations Density 0.016%

    No Known Activations