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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
    11. 13559
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    Explanations

    references to makeup and associated activities or items

    oai_token-act-pair · gpt-3.5-turbo

    references to makeup and cosmetic products

    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
    âķIJâķIJ
    -0.76
    Fal
    -0.74
     Hammond
    -0.72
     Chronicle
    -0.72
    ollow
    -0.71
    imov
    -0.69
    awar
    -0.69
    Bull
    -0.68
    sent
    -0.67
    pg
    -0.67
    POSITIVE LOGITS
     makeup
    1.25
     brushes
    0.88
     wardrobe
    0.81
     cosmetics
    0.80
    creen
    0.79
     wig
    0.78
     pedals
    0.77
    ipedia
    0.77
     artist
    0.76
     fitt
    0.76
    Activations Density 0.010%

    No Known Activations