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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. 1-RES-JB
    11. 19663
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    Explanations

    mentions or descriptions related to merchants and business transactions

    oai_token-act-pair · gpt-3.5-turbo

    references to merchants and related concepts in a business context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Devi
    -0.74
    ews
    -0.71
    chy
    -0.71
    arching
    -0.68
    orsche
    -0.68
    hov
    -0.63
    zz
    -0.63
    doors
    -0.62
    chie
    -0.62
    ariat
    -0.62
    POSITIVE LOGITS
     merchant
    1.12
     merchants
    1.07
     Merchant
    0.92
    ãĥ¼ãĥĨãĤ£
    0.89
     Merchants
    0.88
    folk
    0.81
     behavi
    0.80
     transactions
    0.79
    loo
    0.76
     traders
    0.73
    Activations Density 0.006%

    No Known Activations