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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. 3-RES-JB
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    Explanations

    mentions of removing clothing

    oai_token-act-pair · gpt-3.5-turbo

    references to clothing or items being removed or shown

    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
    女
    -0.82
    ioch
    -0.68
     Commonwealth
    -0.64
     OD
    -0.61
     Nanto
    -0.61
     withholding
    -0.60
     interstate
    -0.60
    REDACTED
    -0.60
     Domestic
    -0.59
    aimon
    -0.57
    POSITIVE LOGITS
     trou
    1.27
    bled
    1.06
    bly
    0.90
    bling
    0.89
    pling
    0.87
    pe
    0.87
    pped
    0.86
    ps
    0.85
    ¬
    0.84
    pants
    0.84
    Activations Density 0.007%

    No Known Activations