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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    references to the retail store "Walmart."

    oai_token-act-pair · gpt-3.5-turbo

    references to "Wal-Mart" or "Mart" in the text

    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
     bandwidth
    -0.77
     overflow
    -0.70
     Falls
    -0.70
     caller
    -0.69
     flood
    -0.69
    nces
    -0.67
     CIS
    -0.66
     Huma
    -0.65
     HY
    -0.65
     casc
    -0.65
    POSITIVE LOGITS
    Mart
    4.15
    mart
    2.78
     Mart
    2.29
     mart
    1.77
     Martinez
    1.51
     Marty
    1.36
     Martial
    1.34
    Mars
    1.26
    Ram
    1.18
    Mich
    1.17
    Activations Density 0.010%

    No Known Activations