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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. 12833
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    Explanations

    mentions of e-commerce activities or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to e-commerce

    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
     fuse
    -0.77
     sidx
    -0.75
     Sagan
    -0.68
     mushroom
    -0.66
     slide
    -0.66
     Fell
    -0.63
     goose
    -0.62
     NEC
    -0.62
     SD
    -0.61
     Sage
    -0.61
    POSITIVE LOGITS
    commerce
    3.78
    Commerce
    2.34
    merce
    1.33
     commerce
    1.22
    bsite
    1.01
    business
    1.00
    fashion
    0.97
    conn
    0.97
    ciation
    0.94
    conom
    0.92
    Activations Density 0.022%

    No Known Activations