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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. 0-RES-JB
    11. 13026
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    Explanations

    mentions of retail businesses

    oai_token-act-pair · gpt-3.5-turbo

    references to retailers and the retail industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    á
    -0.66
    Lenin
    -0.65
    Äĩ
    -0.65
    dh
    -0.65
     fluent
    -0.64
    doc
    -0.61
     Fell
    -0.61
     wing
    -0.60
     POV
    -0.60
    Param
    -0.60
    POSITIVE LOGITS
     retailers
    3.48
     retailer
    2.99
     Retail
    2.23
     retail
    2.10
     shoppers
    2.09
     supermarkets
    1.96
     stores
    1.91
     sellers
    1.79
     distributors
    1.77
     merchants
    1.77
    Activations Density 0.018%

    No Known Activations