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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15468
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    Explanations

    keywords related to skilled workers or professions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to skilled labor and workforce qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oration
    -0.74
    ptions
    -0.71
    ĸļ
    -0.70
    eter
    -0.68
    iphany
    -0.67
    agher
    -0.64
    classic
    -0.63
    idas
    -0.63
    oths
    -0.62
    ocene
    -0.62
    POSITIVE LOGITS
     workforce
    0.82
     enough
    0.79
     talents
    0.75
    bodied
    0.74
     individuals
    0.74
     minds
    0.73
     crafts
    0.72
     professionals
    0.71
    lings
    0.70
     pian
    0.68
    Activations Density 0.029%

    No Known Activations