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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. 3-RES-JB
    11. 20649
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    INDEX
    Explanations

    homework-related terms and paperwork-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to educational assignments and associated documentation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ideshow
    -0.82
    ole
    -0.81
    ocal
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    ols
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    itol
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     ambassadors
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    oles
    -0.71
     Osw
    -0.71
    oids
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    eties
    -0.66
    POSITIVE LOGITS
    heet
    0.79
     paperwork
    0.74
     Dirt
    0.74
    Mat
    0.72
     Kenn
    0.70
     homework
    0.69
    BOX
    0.69
    Required
    0.69
    20439
    0.68
     assignment
    0.67
    Activations Density 0.020%

    No Known Activations