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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. 11-RES-JB
    11. 24460
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    INDEX
    Explanations

    references to income levels and thresholds

    oai_token-act-pair · gpt-3.5-turbo

    financial statistics related to income thresholds and family earnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.80
     extrad
    -0.71
     recons
    -0.70
     Austral
    -0.67
    Reviewer
    -0.65
    effic
    -0.63
     Investigations
    -0.63
     diversion
    -0.62
    Demand
    -0.60
     fragmentation
    -0.60
    POSITIVE LOGITS
     incomes
    1.05
    married
    0.97
     married
    0.94
     income
    0.93
    overty
    0.92
     millionaire
    0.91
     Poverty
    0.91
    income
    0.89
     poverty
    0.89
     earners
    0.88
    Activations Density 0.196%

    No Known Activations