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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. 19505
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    INDEX
    Explanations

    terms related to labor, workforce, and employment conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to labor and employment

    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
    irs
    -0.86
     Flavoring
    -0.84
     Seym
    -0.75
     Qiao
    -0.69
    resy
    -0.69
     Nib
    -0.67
     Sark
    -0.66
     Robertson
    -0.65
     Dak
    -0.64
    rah
    -0.63
    POSITIVE LOGITS
     labor
    0.96
     unions
    0.89
     laborers
    0.80
     intensive
    0.79
     stopp
    0.78
    abor
    0.78
     labour
    0.78
    lust
    0.78
    ayers
    0.77
    Labor
    0.77
    Activations Density 0.014%

    No Known Activations