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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. 15831
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    Explanations

    references mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    references and citations in a document

    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
    oton
    -0.85
    otos
    -0.77
    oÄŁ
    -0.76
     expectation
    -0.62
     refugee
    -0.61
    iot
    -0.60
    onite
    -0.60
    agers
    -0.59
     steam
    -0.58
    ther
    -0.58
    POSITIVE LOGITS
     Links
    0.92
    ibliography
    0.90
     References
    0.90
    hips
    0.89
    âĨij
    0.88
    rences
    0.87
     Figures
    0.83
     Sources
    0.79
    Notes
    0.78
     Notes
    0.78
    Activations Density 0.024%

    No Known Activations