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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. 6747
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to external sources or citations

    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
    bably
    -0.87
    icum
    -0.78
    enei
    -0.76
    cffff
    -0.75
    biased
    -0.74
    âĹ¼
    -0.72
    uld
    -0.72
    aced
    -0.72
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
    merce
    -0.70
    POSITIVE LOGITS
     below
    1.31
     Appendix
    1.10
     sidebar
    1.10
     above
    1.01
     footnote
    1.00
    below
    0.92
     appendix
    0.92
     FAQ
    0.90
     supra
    0.89
     www
    0.87
    Activations Density 0.028%

    No Known Activations