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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. 6-RES-JB
    11. 4290
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    INDEX
    Explanations

    mentions of income or tax-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to income

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    toe
    -0.73
    abies
    -0.73
    OY
    -0.73
    士
    -0.72
    eries
    -0.68
    pload
    -0.67
    uj
    -0.67
     Slug
    -0.67
    soDeliveryDate
    -0.66
    aptic
    -0.65
    POSITIVE LOGITS
     earners
    1.19
     income
    1.01
     inequality
    0.96
     taxes
    0.95
     Income
    0.94
     tax
    0.90
     disparity
    0.90
     redistribution
    0.87
     Taxes
    0.87
     streams
    0.86
    Activations Density 0.029%

    No Known Activations