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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. 9-RES-JB
    11. 16333
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    Explanations

    descriptions of real estate properties and development projects

    oai_token-act-pair · gpt-3.5-turbo

    quantitative and spatial details related to real estate and construction projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.74
     lately
    -0.71
    paren
    -0.70
    mom
    -0.68
     taboo
    -0.67
     dreaded
    -0.66
    ERROR
    -0.65
    wrong
    -0.63
    iuses
    -0.62
     lur
    -0.62
    POSITIVE LOGITS
     unspecified
    1.05
     2021
    1.01
     2025
    1.00
     2020
    0.94
     2019
    0.88
     2030
    0.87
     2024
    0.86
     2022
    0.82
     phased
    0.77
     hereafter
    0.77
    Activations Density 1.203%

    No Known Activations