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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. 7-RES-JB
    11. 24148
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    Explanations

    keywords related to makeup products and colors

    oai_token-act-pair · gpt-3.5-turbo

    cosmetic products and beauty-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.89
    Unix
    -0.86
    ewitness
    -0.86
    \\\\\\\\\\\\\\\\
    -0.77
    \\\\\\\\
    -0.76
    ichick
    -0.76
    Lenin
    -0.76
    puters
    -0.75
    Veh
    -0.74
    Lua
    -0.73
    POSITIVE LOGITS
     mascara
    1.13
     cosmetics
    0.99
     boutique
    0.98
     moistur
    0.98
     Beauty
    0.97
     bras
    0.95
     lipstick
    0.92
     denim
    0.91
     matte
    0.91
     sleeves
    0.90
    Activations Density 0.364%

    No Known Activations