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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. 9-RES-JB
    11. 8665
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    mentions of paid work or leave

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ierre
    -0.91
    erion
    -0.82
    ively
    -0.76
    oys
    -0.73
    ugu
    -0.70
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
    20439
    -0.68
    Assembly
    -0.68
    ocent
    -0.67
     Strait
    -0.66
    POSITIVE LOGITS
     dividends
    0.90
     overtime
    0.88
    checks
    0.88
     royalties
    0.84
     salaries
    0.84
    outs
    0.83
     dues
    0.83
     gigs
    0.82
     internship
    0.81
     payroll
    0.80
    Activations Density 0.046%

    No Known Activations