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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. 3-RES-JB
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    Explanations

    mentions of denim clothing

    oai_token-act-pair · gpt-3.5-turbo

    references to denim clothing, particularly jeans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     subp
    -0.67
    yss
    -0.67
    Reviewer
    -0.66
     presiding
    -0.65
    iences
    -0.65
    anz
    -0.61
    aucus
    -0.61
    ambo
    -0.61
    ogical
    -0.61
    herical
    -0.61
    POSITIVE LOGITS
     jeans
    1.38
     denim
    1.00
     pants
    0.90
     trousers
    0.86
     clothes
    0.83
     shorts
    0.83
     jacket
    0.81
     Adidas
    0.81
     jackets
    0.80
     socks
    0.80
    Activations Density 0.017%

    No Known Activations