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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. 6-RES-JB
    11. 20517
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    Explanations

    mentions of items being worn by individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wearing."

    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
    cffffcc
    -0.71
    estine
    -0.70
    edia
    -0.69
    DEM
    -0.68
    =-=-=-=-
    -0.68
    later
    -0.67
     Debor
    -0.65
    heid
    -0.65
    demon
    -0.64
    deal
    -0.64
    POSITIVE LOGITS
     apparel
    0.99
     jeans
    0.93
     shoes
    0.91
     clothing
    0.91
     sleeves
    0.90
     underwear
    0.89
     clothes
    0.88
     gloves
    0.86
     sunglasses
    0.86
     worn
    0.84
    Activations Density 0.023%

    No Known Activations