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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. 8-RES-JB
    11. 11686
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    Explanations

    phrases related to employment and workplaces

    oai_token-act-pair · gpt-3.5-turbo

    references to employers and their obligations or actions in the workplace

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Revival
    -0.72
     Strait
    -0.71
    ogue
    -0.63
    bian
    -0.62
    icans
    -0.61
     Nieto
    -0.61
    range
    -0.61
     Revision
    -0.61
     Bol
    -0.61
    IFF
    -0.60
    POSITIVE LOGITS
    employ
    1.08
     employer
    0.93
     Employ
    0.92
     employers
    0.88
     unions
    0.87
     employee
    0.81
     payroll
    0.80
    ighed
    0.80
     Advantage
    0.79
    Employ
    0.78
    Activations Density 0.029%

    No Known Activations