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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. 9-RES-JB
    11. 17375
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    Explanations

    descriptions related to socioeconomic classes, particularly focusing on the working class

    oai_token-act-pair · gpt-3.5-turbo

    references to social class, particularly working-class issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.82
    WAR
    -0.82
    SIGN
    -0.79
    SCP
    -0.79
    bsp
    -0.77
    oldown
    -0.77
    Board
    -0.77
    CAST
    -0.75
    acc
    -0.75
    asus
    -0.73
    POSITIVE LOGITS
     incomes
    0.97
     earners
    0.96
     upbringing
    0.89
     families
    0.87
     Protestant
    0.83
     peasants
    0.82
     households
    0.82
     wages
    0.81
     taxpayers
    0.79
     backgrounds
    0.78
    Activations Density 0.045%

    No Known Activations