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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. 5-RES-JB
    6. 21033
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    INDEX
    Explanations

    mentions of monetary earnings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to income and earnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Franz
    -0.66
    Jess
    -0.65
     Ukrain
    -0.62
     Strait
    -0.61
    pn
    -0.61
     Prol
    -0.60
     Yel
    -0.59
     bru
    -0.59
     Balkans
    -0.58
     Bru
    -0.58
    POSITIVE LOGITS
     earners
    0.98
     income
    0.98
     earn
    0.95
     earning
    0.95
    Earn
    0.94
     incomes
    0.94
     payroll
    0.88
     Income
    0.85
     Earn
    0.83
     earnings
    0.83
    Activations Density 0.047%

    No Known Activations