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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. 23333
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    Explanations

    words related to employees or staff members

    oai_token-act-pair · gpt-3.5-turbo

    references to employment status and roles

    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
    omes
    -0.71
    uri
    -0.70
    rav
    -0.67
     kings
    -0.66
    nets
    -0.66
    etry
    -0.64
    atics
    -0.62
    ageddon
    -0.62
     centres
    -0.60
     Apocalypse
    -0.60
    POSITIVE LOGITS
     employee
    3.51
     Employee
    2.56
     employees
    2.38
    employ
    2.19
     Employees
    2.12
     worker
    2.12
     employer
    1.95
     staffer
    1.91
    Employ
    1.87
     cowork
    1.74
    Activations Density 0.015%

    No Known Activations