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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. 11-RES-JB
    11. 2346
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    Explanations

    mentions of clothing items and accessories

    oai_token-act-pair · gpt-3.5-turbo

    references to clothing and fashion items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Brain
    -0.85
     Trem
    -0.84
     GABA
    -0.83
    Psy
    -0.83
    Torrent
    -0.83
    apeake
    -0.82
    Plot
    -0.81
    terness
    -0.78
    ithmetic
    -0.77
    Reviewer
    -0.74
    POSITIVE LOGITS
     garments
    1.97
     wardrobe
    1.88
     garment
    1.86
     clothing
    1.84
     jeans
    1.82
     apparel
    1.80
     worn
    1.78
     denim
    1.76
     wear
    1.75
    wear
    1.74
    Activations Density 0.639%

    No Known Activations