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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. 1-RES-JB
    11. 11452
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    INDEX
    Explanations

    mentions of specific income levels or statistics related to income

    oai_token-act-pair · gpt-3.5-turbo

    mentions of income-related terms and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    de
    -0.67
    design
    -0.67
    nit
    -0.66
    arc
    -0.65
    atur
    -0.65
    oval
    -0.64
    ruck
    -0.64
    phas
    -0.63
    atom
    -0.62
    cross
    -0.62
    POSITIVE LOGITS
     incomes
    1.32
     earners
    1.19
     income
    1.14
     Income
    1.02
     unemploy
    0.99
     inequality
    0.86
     rents
    0.84
     earnings
    0.83
     earning
    0.81
     ratios
    0.77
    Activations Density 0.004%

    No Known Activations