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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23120
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    Explanations

    specific details or instructions outlined in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to specific studies and reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lasted
    -0.82
     behaved
    -0.72
     imperson
    -0.67
     assured
    -0.63
    etheless
    -0.62
     waited
    -0.62
    soever
    -0.61
    leep
    -0.60
     enjoyed
    -0.60
     faced
    -0.60
    POSITIVE LOGITS
     conjunction
    0.94
    effic
    0.90
     Appendix
    0.88
     detail
    0.88
    efficiency
    0.88
     accordance
    0.88
     Exhibit
    0.83
     advance
    0.83
    ordinate
    0.80
     Chapter
    0.80
    Activations Density 0.151%

    No Known Activations