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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. 1-RES-JB
    11. 22903
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    Explanations

    words related to labor and working conditions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of workers and labor-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.77
    olic
    -0.73
    laus
    -0.73
    forth
    -0.70
     venerable
    -0.69
    eely
    -0.65
    vir
    -0.65
    osp
    -0.64
     Geo
    -0.64
     Buckingham
    -0.63
    POSITIVE LOGITS
    workers
    1.02
    hops
    1.02
    worker
    1.01
     workers
    1.00
    folk
    0.98
    paces
    0.96
     worker
    0.92
    geist
    0.85
    chwitz
    0.83
    dayName
    0.82
    Activations Density 0.031%

    No Known Activations