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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. 5686
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    Explanations

    phrases related to cleanliness or cleanliness standards

    oai_token-act-pair · gpt-3.5-turbo

    references to cleanliness or the concept of being 'clean'

    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
    -0.94
    Reloaded
    -0.80
    CVE
    -0.76
    doms
    -0.76
     htt
    -0.69
    enegger
    -0.68
    MAC
    -0.68
     Briggs
    -0.68
    pheus
    -0.66
    HAM
    -0.65
    POSITIVE LOGITS
    liness
    1.16
    clean
    0.97
     cleaner
    0.92
     linen
    0.91
     clean
    0.90
     Clean
    0.87
     slate
    0.83
    se
    0.79
    Clean
    0.79
    ened
    0.76
    Activations Density 0.012%

    No Known Activations