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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. 9-RES-JB
    11. 13770
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    oai_token-act-pair · gpt-3.5-turbo

    categories or classifications of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    etheless
    -0.69
    lihood
    -0.66
    ¥ŀ
    -0.64
     Aires
    -0.61
     citiz
    -0.60
     skelet
    -0.58
     prosec
    -0.57
     chewing
    -0.57
    eness
    -0.56
     neigh
    -0.56
    POSITIVE LOGITS
    Contents
    1.09
    Introduction
    1.00
    Guest
    0.96
    Yesterday
    0.95
    WASHINGTON
    0.94
    Specifically
    0.89
    ADVERTISEMENT
    0.86
    Scroll
    0.85
    Interested
    0.85
    Background
    0.84
    Activations Density 0.339%

    No Known Activations