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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. 10-RES-JB
    11. 6346
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    Explanations

    locations, specifically Salt Lake City

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Salt Lake City" and related geographic names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.95
    schild
    -0.80
    vous
    -0.74
    mble
    -0.71
     streng
    -0.71
    udeb
    -0.68
    ener
    -0.66
    ullivan
    -0.63
     rigging
    -0.62
     Rowling
    -0.62
    POSITIVE LOGITS
     City
    1.46
     Tribune
    1.14
    City
    1.10
     Valley
    1.04
     Springs
    0.98
     Rapids
    0.97
     Falls
    0.97
     Mesa
    0.88
     Salt
    0.85
     Canyon
    0.84
    Activations Density 0.026%

    No Known Activations