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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. 3-RES-JB
    11. 5769
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    Explanations

    words related to cleaning and maintenance tasks

    oai_token-act-pair · gpt-3.5-turbo

    words related to cleaning activities and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.82
    orne
    -0.72
    kaya
    -0.72
    uld
    -0.72
    CVE
    -0.71
    enegger
    -0.67
    aji
    -0.66
    WAY
    -0.66
    pton
    -0.65
    umar
    -0.63
    POSITIVE LOGITS
     cleaner
    0.97
     cleaners
    0.91
     Clean
    0.84
     ashore
    0.84
    liness
    0.83
     cleaning
    0.80
    clean
    0.80
    Clean
    0.78
    ãĤĵ
    0.78
     cleanup
    0.77
    Activations Density 0.014%

    No Known Activations