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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. 7-RES-JB
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    Explanations

    words related to handling and managing exceptions in programming

    oai_token-act-pair · gpt-3.5-turbo

    terms related to error handling and exceptions in programming, particularly in Python

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    artisan
    -0.84
    issan
    -0.80
    iverpool
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    brand
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    amph
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    eah
    -0.77
    liam
    -0.76
    bold
    -0.75
    oshop
    -0.74
     Juda
    -0.72
    POSITIVE LOGITS
     handler
    1.15
     runtime
    1.01
     handlers
    0.99
     queue
    0.98
     callback
    0.96
    Queue
    0.95
     sched
    0.95
     debugging
    0.95
     initialization
    0.94
     nodes
    0.91
    Activations Density 0.238%

    No Known Activations