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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. 10-RES-JB
    11. 12147
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    Explanations

    references to various wages and pay-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to wage and salary-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.84
    obyl
    -0.81
     Blossom
    -0.80
    20439
    -0.78
    ogue
    -0.74
     Peb
    -0.73
    ique
    -0.72
     Shroud
    -0.72
    olog
    -0.70
    ridges
    -0.70
    POSITIVE LOGITS
     earners
    1.50
    wage
    1.22
     wage
    1.12
     labor
    1.06
     labour
    1.03
     garn
    1.02
     laborers
    1.02
     wages
    1.02
     labou
    1.01
     Wage
    0.97
    Activations Density 0.034%

    No Known Activations