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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. 1687
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    Explanations

    phrases indicating urgency or deadlines

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating urgency or necessity for actions to be taken

    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
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    Negative Logits
     exalted
    -0.65
    eatured
    -0.61
    advertisement
    -0.60
     relentless
    -0.60
     domest
    -0.60
    roots
    -0.59
    alach
    -0.58
     hated
    -0.58
     lofty
    -0.58
    aughed
    -0.57
    POSITIVE LOGITS
     thereafter
    0.94
     lest
    0.89
    .[
    0.89
    .
    0.88
    .''.
    0.85
     afterwards
    0.80
    .*
    0.78
     unless
    0.78
    .</
    0.77
    .(
    0.77
    Activations Density 0.203%

    No Known Activations