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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. 10-RES-JB
    6. 13437
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    Explanations

    clothing items with words or messages imprinted on them

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of clothing items or apparel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    method
    -0.76
    Reviewer
    -0.75
    unker
    -0.75
    imester
    -0.74
    productive
    -0.71
     unprepared
    -0.69
    arten
    -0.68
    adequ
    -0.67
    medi
    -0.67
    ommod
    -0.67
    POSITIVE LOGITS
     logo
    1.74
     logos
    1.64
     swast
    1.57
     symbol
    1.52
     inscription
    1.51
     emblem
    1.50
     insign
    1.48
     initials
    1.47
     symbols
    1.46
     engraved
    1.42
    Activations Density 0.839%

    No Known Activations