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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. 13666
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    Explanations

    words related to professions or careers

    oai_token-act-pair · gpt-3.5-turbo

    words related to various professions

    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
     Square
    -0.73
     Lamar
    -0.67
    bum
    -0.67
    Disc
    -0.66
    head
    -0.64
     Cellular
    -0.63
    isol
    -0.63
    Link
    -0.63
     Parker
    -0.61
     Pixel
    -0.60
    POSITIVE LOGITS
     profession
    3.93
     professions
    3.04
     Profession
    1.89
     occupations
    1.29
     occupation
    1.23
     specialization
    1.21
     Occupations
    1.20
     sciences
    1.17
     hobby
    1.15
     disciplines
    1.13
    Activations Density 0.017%

    No Known Activations