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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. 4-RES-JB
    11. 2003
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    Explanations

    large quantities or groups of something

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities, particularly related to "tens" or "thousands" of people, dollars, or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mint
    -0.66
     Providence
    -0.65
     Boards
    -0.64
     Slayer
    -0.63
     Shrine
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     Angels
    -0.62
     Scotia
    -0.62
     Bomber
    -0.62
     Guid
    -0.60
    arette
    -0.60
    POSITIVE LOGITS
    omet
    0.94
     thous
    0.93
    atile
    0.92
    atility
    0.91
    eteen
    0.91
    earchers
    0.89
    elfth
    0.88
    imet
    0.87
    ourcing
    0.85
    rolet
    0.85
    Activations Density 0.005%

    No Known Activations