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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16033
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to numeric data and statistical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spitting
    -0.98
     yours
    -0.90
     paddle
    -0.88
     shelling
    -0.87
     taste
    -0.87
     swoop
    -0.86
     neighb
    -0.86
     star
    -0.84
     eleph
    -0.83
     swe
    -0.83
    POSITIVE LOGITS
    CONCLUS
    1.95
    References
    1.90
    Conclusion
    1.84
    Figure
    1.83
    Introduction
    1.80
    FIG
    1.78
    Discussion
    1.77
    Methods
    1.77
    Acknowled
    1.74
    Thus
    1.71
    Activations Density 0.387%

    No Known Activations