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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. 9-RES-JB
    6. 22363
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    INDEX
    Explanations

    descriptions of clothing and accessories worn by individuals

    oai_token-act-pair · gpt-3.5-turbo

    clothing and accessory details in descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibling
    -0.89
    heastern
    -0.86
    imilation
    -0.85
    profit
    -0.84
    iversal
    -0.83
    >[
    -0.82
    profits
    -0.81
    ranean
    -0.80
    ablishment
    -0.78
    sylv
    -0.76
    POSITIVE LOGITS
     gloves
    1.18
     goggles
    1.12
     scissors
    1.09
     sunglasses
    1.07
     robes
    1.05
     handcuffs
    1.05
     trousers
    1.05
     torches
    1.04
     boots
    1.03
     cane
    1.03
    Activations Density 0.249%

    No Known Activations