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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. 6-RES-JB
    11. 3756
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    Explanations

    phrases indicating observations or recommendations to look at something specific

    oai_token-act-pair · gpt-3.5-turbo

    phrases that direct attention to specific observations or details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     facult
    -0.72
     viz
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    sheet
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    etter
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    inals
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     resides
    -0.62
    ella
    -0.61
    ettel
    -0.61
    oa
    -0.60
    bm
    -0.60
    POSITIVE LOGITS
     Skies
    0.78
     Compare
    0.78
     yourselves
    0.75
    asm
    0.74
     yourself
    0.72
     Titus
    0.70
     Twain
    0.68
     Tables
    0.68
     Examples
    0.65
     Leban
    0.64
    Activations Density 0.085%

    No Known Activations