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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. 9-RES-JB
    11. 9038
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    Explanations

    details related to events, activities, locations, and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Whilst
    -1.00
     whilst
    -0.92
     ****
    -0.86
    [/
    -0.84
     doesnt
    -0.80
     Conclusion
    -0.78
     realise
    -0.77
    !".
    -0.77
     !!
    -0.77
     tho
    -0.76
    POSITIVE LOGITS
    Enlarge
    0.79
     cellphone
    0.64
    toggle
    0.61
     emoji
    0.58
    ophone
    0.57
     Airbnb
    0.56
    ograp
    0.56
     Craigslist
    0.56
     hers
    0.56
     nonprofit
    0.54
    Activations Density 1.804%

    No Known Activations