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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. 13308
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    Explanations

    mentions of the passage of time, particularly in terms of minutes

    oai_token-act-pair · gpt-3.5-turbo

    references to time durations

    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
    bard
    -0.82
    imaru
    -0.76
    ashtra
    -0.75
    spons
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    uph
    -0.71
    ç¥ŀ
    -0.67
    liga
    -0.66
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    -0.64
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    -0.63
    ILLE
    -0.63
    POSITIVE LOGITS
    ftime
    0.91
     apiece
    0.88
     livest
    0.83
    neapolis
    0.81
     ago
    0.80
     cooldown
    0.78
    isters
    0.77
     intervals
    0.77
     elapsed
    0.76
    utes
    0.74
    Activations Density 0.050%

    No Known Activations