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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. 2-RES-JB
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    references to the platform "Reddit."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the platform Reddit

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ³³³³³³³³³³³³³³³³
    -0.71
    ³³³³³³³³
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     Bethlehem
    -0.62
     FAT
    -0.61
    bil
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     Daniels
    -0.59
    bery
    -0.59
     ×
    -0.59
    POSITIVE LOGITS
    icum
    1.07
    Reddit
    1.06
     Reddit
    0.99
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    reddits
    0.92
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    0.86
    urous
    0.83
    ipedia
    0.80
     thread
    0.78
     AMA
    0.77
    Activations Density 0.005%

    No Known Activations