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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. 10-RES-JB
    11. 7931
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to systems, mechanisms, and programs aimed at solving problems or improving processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hits
    -0.73
     perish
    -0.64
     Conclusion
    -0.64
     spite
    -0.63
     glances
    -0.61
     disappoint
    -0.60
     DOI
    -0.60
     trophies
    -0.59
     Scenes
    -0.58
     IMAGES
    -0.58
    POSITIVE LOGITS
     whereby
    1.40
     wherein
    1.05
     designed
    1.00
     dedicated
    1.00
     enabling
    0.94
     allowing
    0.94
     outlining
    0.89
     called
    0.88
     aimed
    0.88
     devoted
    0.88
    Activations Density 0.345%

    No Known Activations