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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. 7-RES-JB
    11. 9478
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    Explanations

    phrases related to daily operations or routines

    oai_token-act-pair · gpt-3.5-turbo

    references to daily routines or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Osw
    -0.79
    OTUS
    -0.76
     THEN
    -0.73
    enegger
    -0.71
    icus
    -0.70
     Chun
    -0.70
    sonian
    -0.69
    asa
    -0.69
     Twins
    -0.68
    BALL
    -0.66
    POSITIVE LOGITS
     affairs
    0.85
     emergencies
    0.85
     fluctuations
    0.84
     basis
    0.83
     vigilance
    0.83
     existence
    0.82
     operations
    0.79
     maintenance
    0.79
     variability
    0.79
     upkeep
    0.78
    Activations Density 0.062%

    No Known Activations