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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. 19573
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    Explanations

    numerical values with currency symbols or measurements

    oai_token-act-pair · gpt-3.5-turbo

    monetary values, particularly currency amounts

    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
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    Negative Logits
    nyder
    -0.65
    76561
    -0.62
    nik
    -0.59
     typical
    -0.58
    enhagen
    -0.57
     errone
    -0.56
     blister
    -0.56
    vertisement
    -0.56
    act
    -0.55
     phenomen
    -0.55
    POSITIVE LOGITS
     Flavoring
    0.90
     Conclusion
    0.90
    etc
    0.86
     Vinyl
    0.83
     Warranty
    0.81
     Languages
    0.80
     Obesity
    0.80
     Misc
    0.78
     Nicotine
    0.77
     Others
    0.77
    Activations Density 0.345%

    No Known Activations