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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. 4-RES-JB
    11. 14603
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    Explanations

    terms related to precision and optimization

    oai_token-act-pair · gpt-3.5-turbo

    terms referring to attributes or qualities that imply precision or optimization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    partisan
    -0.53
    gov
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    berman
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    hemat
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    pdf
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    olan
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    ©¶æ
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    vor
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    funding
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    ibliography
    -0.42
    POSITIVE LOGITS
     guiActiveUn
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     resemb
    0.53
     approx
    0.50
    aneously
    0.50
     distingu
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    ively
    0.48
    uberty
    0.47
     upwards
    0.47
    itiz
    0.45
     occasions
    0.45
    Activations Density 1.627%

    No Known Activations