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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. 11-RES-JB
    11. 1973
    Prev
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    INDEX
    Explanations

    numerical values like chapter numbers and statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive sports and performance analysis

    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
     eleph
    -0.89
     invoked
    -0.80
     wrench
    -0.79
     tricked
    -0.79
     inund
    -0.78
     laun
    -0.77
     forbidden
    -0.77
     periodic
    -0.76
     polite
    -0.76
     techn
    -0.75
    POSITIVE LOGITS
    Overall
    1.82
    Conclusion
    1.73
    Lastly
    1.68
    Advertisements
    1.63
    Pred
    1.62
    Final
    1.56
    CONCLUS
    1.51
    Notable
    1.50
    Pros
    1.49
    Weak
    1.45
    Activations Density 0.297%

    No Known Activations