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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. 2877
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    Explanations

    patterns related to computer programming and optimization

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to object ownership and data management in graphs

    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
     Charity
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     Willie
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     Franch
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     Poe
    -0.70
    united
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    POSITIVE LOGITS
     outputs
    1.09
     output
    1.08
     milliseconds
    1.06
     byte
    1.06
     inputs
    1.05
     synchron
    1.03
     runtime
    1.02
     bottleneck
    1.02
     interfaces
    1.01
     interface
    1.00
    Activations Density 0.907%

    No Known Activations