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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 2533
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    INDEX
    Explanations

    mentions of salaries or compensation-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to salary and compensation in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ells
    -0.81
    Jess
    -0.74
     Goodwin
    -0.71
    sonian
    -0.71
     Ange
    -0.71
     Sheen
    -0.69
    ennett
    -0.68
     Ryder
    -0.67
    Jere
    -0.67
     Edison
    -0.66
    POSITIVE LOGITS
     earners
    1.09
     salary
    0.97
     dues
    0.90
     salaries
    0.89
     income
    0.86
     compensation
    0.86
     earned
    0.83
     sacrific
    0.81
     payable
    0.79
     deductions
    0.77
    Activations Density 0.023%

    No Known Activations