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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. 7-RES-JB
    11. 11589
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    elements related to project management or community engagement metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĸļ
    -1.00
     neighb
    -0.81
     suprem
    -0.78
     covenant
    -0.77
     stem
    -0.74
     skelet
    -0.73
     circus
    -0.72
     spir
    -0.70
     chem
    -0.69
     frontline
    -0.69
    POSITIVE LOGITS
    Advertisement
    1.18
    Similarly
    1.16
    Instead
    1.16
    Individual
    1.15
    Advertisements
    1.15
    Acknowled
    1.14
    Conclusion
    1.14
    Using
    1.11
    Avoid
    1.11
    Contribut
    1.11
    Activations Density 0.367%

    No Known Activations