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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. 4-RES-JB
    6. 16926
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    INDEX
    Explanations

    terms related to financial aspects, particularly focusing on payroll and taxes

    oai_token-act-pair · gpt-3.5-turbo

    references to payroll-related topics

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

    No Comments

    Negative Logits
    olog
    -0.76
    opol
    -0.70
    uart
    -0.69
    Interstitial
    -0.65
    igo
    -0.65
    displayText
    -0.64
    bol
    -0.64
    alogue
    -0.64
    ulton
    -0.63
    CONCLUS
    -0.63
    POSITIVE LOGITS
     payroll
    1.24
     taxes
    0.85
     accountant
    0.83
     deductions
    0.81
     tax
    0.79
     earners
    0.78
     rebate
    0.77
     expenses
    0.76
     dues
    0.76
     income
    0.76
    Activations Density 0.009%

    No Known Activations