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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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    syntax errors in code snippets

    oai_token-act-pair · gpt-3.5-turbo

    syntax errors in programming code

    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
    20439
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    -0.85
    yip
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     Frem
    -0.70
     Aware
    -0.69
     sqor
    -0.66
     Princ
    -0.65
     Saras
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     bom
    -0.65
     destro
    -0.64
    POSITIVE LOGITS
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    0.79
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    0.73
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    0.72
    ribute
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    ¶
    0.69
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    0.67
    rust
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    orned
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    ¿
    0.66
    Activations Density 0.182%

    No Known Activations