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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. 1-RES-JB
    11. 15919
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    Explanations

    terms related to outperforming others or being superior in performance

    oai_token-act-pair · gpt-3.5-turbo

    references to outperforming expectations or benchmarks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Geneva
    -0.83
    Maps
    -0.78
     Origin
    -0.67
     Atlas
    -0.66
     Biological
    -0.65
    dar
    -0.65
    andro
    -0.62
    SF
    -0.62
    GMT
    -0.61
     Evil
    -0.61
    POSITIVE LOGITS
     outper
    1.20
    performing
    0.96
    ceed
    0.93
     resil
    0.92
    atility
    0.89
     tremend
    0.88
    icter
    0.88
    vantage
    0.87
     lapt
    0.86
    visors
    0.81
    Activations Density 0.008%

    No Known Activations