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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. 1-RES-JB
    11. 6756
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    Explanations

    keywords related to clothing items

    oai_token-act-pair · gpt-3.5-turbo

    references to clothing and apparel in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mary
    -0.67
     probable
    -0.63
     paraph
    -0.62
    notice
    -0.62
    opened
    -0.61
     Lakes
    -0.60
     root
    -0.60
    opal
    -0.60
    arial
    -0.59
    protected
    -0.59
    POSITIVE LOGITS
     apparel
    1.43
     clothing
    1.33
     garments
    1.24
     Clothing
    1.10
     footwear
    1.05
     underwear
    1.05
     garment
    1.00
     clothes
    0.98
     fabrics
    0.95
     diapers
    0.94
    Activations Density 0.009%

    No Known Activations