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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. 3-RES-JB
    11. 22583
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    Explanations

    terms related to highly skilled individuals or workers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to skilled labor and workforce

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pty
    -0.71
     Dover
    -0.69
     Gaddafi
    -0.64
     Cosby
    -0.64
    STR
    -0.63
     Greenpeace
    -0.63
    onel
    -0.62
    oration
    -0.60
     Definitive
    -0.60
     Constantin
    -0.60
    POSITIVE LOGITS
    anooga
    0.83
     trades
    0.80
     crafts
    0.80
    rentices
    0.79
     laborers
    0.79
     apprentices
    0.79
     skilled
    0.78
     worker
    0.77
    worker
    0.77
     workforce
    0.75
    Activations Density 0.016%

    No Known Activations