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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. 8-RES-JB
    11. 189
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    Explanations

    sports-related phrases mentioning players receiving recognition or awards

    oai_token-act-pair · gpt-3.5-turbo

    references to awards and recognitions for athletes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     centrif
    -0.78
     surrog
    -0.67
    fully
    -0.65
    aird
    -0.65
    Downloadha
    -0.64
    ful
    -0.64
     attendant
    -0.64
     tunnels
    -0.62
    adan
    -0.61
    igham
    -0.61
    POSITIVE LOGITS
     Month
    0.95
     Year
    0.90
     choice
    0.88
     Choice
    0.88
     Week
    0.87
    choice
    0.86
     Excellence
    0.77
    Week
    0.72
     WEEK
    0.71
    eco
    0.71
    Activations Density 0.124%

    No Known Activations