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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. 4-RES-JB
    11. 13115
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    non-alphanumeric characters or patterns in the text

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

    No Comments

    Negative Logits
     broadcasting
    -0.45
     telecommunications
    -0.45
    inance
    -0.43
    DonaldTrump
    -0.42
     draped
    -0.42
     dividing
    -0.41
     respectively
    -0.41
     hust
    -0.41
     risking
    -0.40
    accompan
    -0.40
    POSITIVE LOGITS
     References
    0.63
     Conclusion
    0.63
    ĻĤ
    0.58
     Continued
    0.55
     Edit
    0.53
    ibliography
    0.50
     Dice
    0.50
    laughs
    0.49
     Logged
    0.49
     Comments
    0.49
    Activations Density 1.513%

    No Known Activations