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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. 9-RES-JB
    11. 5600
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    oai_token-act-pair · gpt-3.5-turbo

    significant scientific discoveries and advancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Exit
    -0.83
     Franchise
    -0.81
    iquette
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     Restaur
    -0.78
     Homeless
    -0.77
     Taxes
    -0.74
     Voters
    -0.72
     Streets
    -0.72
     whine
    -0.72
     Corker
    -0.71
    POSITIVE LOGITS
     scientists
    1.37
     discoveries
    1.31
    Scientists
    1.23
     breakthrough
    1.21
     laboratory
    1.20
     biologists
    1.18
     researchers
    1.18
     discovery
    1.18
     astronomers
    1.17
     scientific
    1.17
    Activations Density 0.715%

    No Known Activations