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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. 8-RES-JB
    11. 12412
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    Explanations

    Twitter handles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Twitter handles or accounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     concentrate
    -0.74
     concentrating
    -0.71
     specificity
    -0.70
     occas
    -0.69
     assum
    -0.69
     congreg
    -0.69
    ³³³
    -0.68
     slips
    -0.67
     aspir
    -0.64
     favors
    -0.64
    POSITIVE LOGITS
    realDonaldTrump
    1.58
    #$
    1.32
    wik
    1.10
    jon
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    gmail
    1.03
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    1.03
    dan
    0.98
    gary
    0.98
    abc
    0.97
    bj
    0.95
    Activations Density 0.018%

    No Known Activations