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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. 6543
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    Explanations

    references to a specific sports team, Manchester United

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Manchester" and related terms from sports contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    PLA
    -0.81
    OPLE
    -0.80
    EStreamFrame
    -0.79
    verted
    -0.77
    ced
    -0.72
    cess
    -0.72
    cific
    -0.70
    ceed
    -0.70
    PER
    -0.69
    held
    -0.69
    POSITIVE LOGITS
     City
    0.97
     Orchestra
    0.94
     Lumpur
    0.81
     Evening
    0.77
     Manor
    0.76
     Airways
    0.76
     Asylum
    0.74
     Keynes
    0.73
     Manchester
    0.72
     United
    0.72
    Activations Density 0.017%

    No Known Activations