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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. 10-RES-JB
    11. 4509
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    âĶĢâĶĢâĶĢâĶĢ
    -0.80
    mingham
    -0.75
    arenthood
    -0.73
     Conclusion
    -0.72
    gow
    -0.71
    âĢ¦]
    -0.69
    ghazi
    -0.68
    ford
    -0.67
    itect
    -0.66
    velt
    -0.66
    POSITIVE LOGITS
     scholarships
    1.39
     vouchers
    1.38
     refunds
    1.30
     prizes
    1.28
     coupons
    1.26
     grants
    1.22
     discounts
    1.19
     licences
    1.13
     licenses
    1.12
     waivers
    1.11
    Activations Density 0.230%

    No Known Activations