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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. 20259
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    Explanations

    dates and times mentioned in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    timestamps and date-related information

    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
     purs
    -0.70
     notwithstanding
    -0.68
    advertisement
    -0.66
     lining
    -0.61
     underway
    -0.60
    bledon
    -0.60
    enegger
    -0.56
     emblem
    -0.56
     requisite
    -0.55
     headquartered
    -0.54
    POSITIVE LOGITS
     Views
    0.73
     08
    0.72
    2018
    0.71
     09
    0.68
     04
    0.68
    2009
    0.66
     2018
    0.66
     Topic
    0.65
    oru
    0.63
    2010
    0.63
    Activations Density 0.102%

    No Known Activations