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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. 2-RES-JB
    11. 10388
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    Explanations

    words related to daily routines or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to daily routines or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aine
    -0.85
    holes
    -0.83
    dinand
    -0.78
    artisan
    -0.75
    eer
    -0.75
    itsch
    -0.73
    hole
    -0.71
     Ellis
    -0.70
    iland
    -0.70
    AMI
    -0.68
    POSITIVE LOGITS
    motion
    0.92
     daily
    0.91
     weekday
    0.88
     upkeep
    0.84
     routines
    0.84
     weekly
    0.83
     dose
    0.82
     intervals
    0.82
     conclud
    0.82
     nightly
    0.79
    Activations Density 0.011%

    No Known Activations