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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. 3-RES-JB
    11. 17913
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    INDEX
    Explanations

    error-related keywords or phrases, particularly focusing on exceptions and syntactical errors

    oai_token-act-pair · gpt-3.5-turbo

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.92
    yles
    -0.91
    rosse
    -0.85
    bent
    -0.84
    olars
    -0.84
    yss
    -0.81
    ŃĶ
    -0.81
    ross
    -0.78
    rikes
    -0.77
    ©¶æ
    -0.77
    POSITIVE LOGITS
     Reporting
    0.89
     Messages
    0.86
     Reports
    0.86
     Handling
    0.84
    Mess
    0.83
     JSON
    0.81
     Warn
    0.80
    Message
    0.80
     Message
    0.79
     msg
    0.78
    Activations Density 0.049%

    No Known Activations