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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. 19960
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    Explanations

    mentions of financial systems and regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to EU-related financial systems or regulations

    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
    COMPLE
    -0.81
    akable
    -0.72
     cherished
    -0.67
    æĪ¦
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    ®,
    -0.64
    ãĤ¹ãĥĪ
    -0.63
    Limit
    -0.62
     unle
    -0.61
     unleash
    -0.60
    Improved
    -0.59
    POSITIVE LOGITS
     Anyway
    1.00
    Anyway
    0.89
     wik
    0.76
     sshd
    0.75
     Interesting
    0.74
     enqu
    0.73
     UKIP
    0.72
     contacted
    0.71
    edit
    0.71
    yip
    0.71
    Activations Density 1.298%

    No Known Activations