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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 15128
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    Explanations

    mentions of salaries(payment) in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to salary and compensation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ells
    -0.83
    fast
    -0.74
    alking
    -0.73
    hover
    -0.73
    intend
    -0.72
    Bra
    -0.71
     Cause
    -0.70
     Edison
    -0.69
    alter
    -0.68
    Wilson
    -0.67
    POSITIVE LOGITS
     salary
    1.13
     earners
    1.06
     salaries
    0.96
     dues
    0.88
     compensation
    0.87
     income
    0.86
     Salary
    0.83
     incomes
    0.82
     wages
    0.82
     unemploy
    0.80
    Activations Density 0.024%

    No Known Activations