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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. 4-RES-JB
    11. 13287
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    Explanations

    programming-related error messages

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to programming errors and exceptions

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

    Negative Logits
    yles
    -0.83
    ross
    -0.79
    axies
    -0.77
    atu
    -0.76
    rosse
    -0.75
    ajo
    -0.74
    intend
    -0.73
    eton
    -0.73
    yss
    -0.72
    cellence
    -0.72
    POSITIVE LOGITS
     Handling
    0.91
     Detected
    0.87
    Msg
    0.85
     Reporting
    0.85
     notifications
    0.82
     Reports
    0.82
     handler
    0.81
     Detection
    0.80
    Message
    0.78
     encountered
    0.78
    Activations Density 0.078%

    No Known Activations