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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. 19773
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    Explanations

    numerical information related to changes or statistics

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating measurable changes or variations over time

    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
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    Negative Logits
    ational
    -0.82
    itled
    -0.76
    hid
    -0.69
     largeDownload
    -0.66
    LA
    -0.66
    kered
    -0.65
     succeeds
    -0.65
    reement
    -0.64
    marked
    -0.64
    ppa
    -0.64
    POSITIVE LOGITS
     virtue
    1.15
     fiat
    1.02
     multiplying
    0.83
     2030
    0.80
    products
    0.79
     2025
    0.78
     2050
    0.75
     leaps
    0.75
     adding
    0.72
     default
    0.71
    Activations Density 0.137%

    No Known Activations