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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. 4-RES-JB
    11. 2579
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    Explanations

    words related to construction and engineering activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the construction industry

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

    No Comments

    Negative Logits
    andra
    -0.78
    leon
    -0.74
    ml
    -0.74
     Ago
    -0.72
    isters
    -0.71
    bern
    -0.70
     Haram
    -0.68
     Cele
    -0.68
    unin
    -0.68
    romeda
    -0.68
    POSITIVE LOGITS
    smanship
    0.89
     construction
    0.82
    ruction
    0.80
     machinery
    0.79
     erection
    0.77
    jriwal
    0.76
    Construction
    0.76
     ethic
    0.76
    worker
    0.75
    industrial
    0.74
    Activations Density 0.017%

    No Known Activations