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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. 11-RES-JB
    11. 75
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    INDEX
    Explanations

    numbers and business-related terms, specifically related to store operations and company statistics

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to business performance and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horm
    -0.79
     Canaver
    -0.78
    IRC
    -0.78
    Engineers
    -0.77
    akespe
    -0.76
     Zerg
    -0.73
     IRC
    -0.73
     proto
    -0.72
     Sagan
    -0.72
     convol
    -0.72
    POSITIVE LOGITS
     Walmart
    2.02
     shoppers
    1.97
     retailer
    1.93
     retailers
    1.84
     stores
    1.83
     Stores
    1.82
     Costco
    1.76
     Macy
    1.76
     Sears
    1.74
     malls
    1.69
    Activations Density 0.606%

    No Known Activations