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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. 17462
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    INDEX
    Explanations

    titles or types of projects or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns associated with various media and entertainment elements

    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
     respectively
    -0.54
     encomp
    -0.53
     mere
    -0.52
     ..."
    -0.51
     instant
    -0.50
     trans
    -0.49
     thereto
    -0.48
     tv
    -0.47
     swe
    -0.47
    .","
    -0.47
    POSITIVE LOGITS
    ibliography
    0.85
     Conclusion
    0.84
     References
    0.82
     Versus
    0.81
     Recommend
    0.80
     Thoughts
    0.80
     Functions
    0.78
     Profile
    0.78
     Comments
    0.78
     Problems
    0.77
    Activations Density 0.735%

    No Known Activations