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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. 9-RES-JB
    11. 4631
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    INDEX
    Explanations

    phrases with a specific pattern of characters interspersed with special characters

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to entertainment or gaming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ranged
    -0.85
     range
    -0.85
     bending
    -0.83
     revers
    -0.80
     habit
    -0.79
     arising
    -0.79
     settings
    -0.79
     pitched
    -0.79
     currency
    -0.79
     scaling
    -0.78
    POSITIVE LOGITS
    Advertisements
    1.77
    Mar
    1.56
    Conclusion
    1.52
    Pan
    1.50
    Others
    1.50
    Nor
    1.50
    Las
    1.49
    Mal
    1.48
    Nap
    1.47
    Gal
    1.45
    Activations Density 0.139%

    No Known Activations