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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. 1858
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    Explanations

    references to income and taxation

    oai_token-act-pair · gpt-3.5-turbo

    references to income and its distribution

    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
    uj
    -0.82
    士
    -0.81
    toe
    -0.77
    OY
    -0.76
    MQ
    -0.74
    soDeliveryDate
    -0.72
    azine
    -0.70
    erald
    -0.69
     Slug
    -0.68
    lain
    -0.67
    POSITIVE LOGITS
     earners
    1.36
     inequality
    1.23
     tax
    1.12
     redistribution
    1.09
     taxes
    1.07
     income
    1.06
     taxation
    1.00
     Income
    0.98
     disparity
    0.97
     Taxes
    0.96
    Activations Density 0.044%

    No Known Activations