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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. 11-RES-JB
    11. 13804
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    Explanations

    terms related to recommendations or suggestions

    oai_token-act-pair · gpt-3.5-turbo

    references to recommended practices or standards in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    owered
    -0.80
    interrupted
    -0.72
    rir
    -0.69
    IFIED
    -0.65
    umat
    -0.65
    verified
    -0.63
    Improved
    -0.61
     firsthand
    -0.61
    ushed
    -0.60
     Shutterstock
    -0.60
    POSITIVE LOGITS
     parameters
    1.15
     location
    1.13
     configurations
    1.12
     arrangement
    1.10
     configuration
    1.09
     format
    1.09
     locations
    1.09
     sizes
    1.08
     specifications
    1.08
     dosage
    1.07
    Activations Density 0.413%

    No Known Activations