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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3234
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    Explanations

    clothing items or accessories

    oai_token-act-pair · gpt-3.5-turbo

    references to clothing or protective wear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llor
    -0.87
    terness
    -0.83
     Dhabi
    -0.77
    ancock
    -0.77
    hesda
    -0.76
    emetery
    -0.75
    mble
    -0.75
    iets
    -0.73
    enario
    -0.72
    ezvous
    -0.72
    POSITIVE LOGITS
     clothes
    1.01
     sleeves
    1.00
     shirt
    0.97
     camouflage
    0.93
     dress
    0.93
     jacket
    0.93
     pants
    0.92
     sleeve
    0.91
     socks
    0.91
     clipboard
    0.89
    Activations Density 0.128%

    No Known Activations