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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. 8-RES-JB
    11. 16997
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    Explanations

    expressions of gratitude and thanks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and excitement in communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     goddamn
    -0.68
     phony
    -0.66
     godd
    -0.66
     nonexistent
    -0.65
     anyway
    -0.63
     sucker
    -0.63
     hers
    -0.61
    —"
    -0.60
     minus
    -0.59
     supposedly
    -0.57
    POSITIVE LOGITS
     ®
    0.73
     Conclusion
    0.70
     Designs
    0.65
    ktop
    0.65
    ::::::::
    0.63
     Rewards
    0.62
    âĦ¢:
    0.62
     Regarding
    0.60
     Customers
    0.59
     Whilst
    0.59
    Activations Density 2.291%

    No Known Activations