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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. 16484
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    Explanations

    sentences related to policies, regulations, and societal impacts

    oai_token-act-pair · gpt-3.5-turbo

    sentences that indicate the completion of ideas or statements

    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
    Not in Any Lists

    No Comments

    Negative Logits
     boun
    -0.85
     nodd
    -0.84
     glim
    -0.84
     butcher
    -0.80
     magically
    -0.79
     worsh
    -0.78
     gobl
    -0.78
     tack
    -0.78
     bolted
    -0.77
     whip
    -0.77
    POSITIVE LOGITS
     Additionally
    1.67
     Accordingly
    1.59
     Finally
    1.56
     Furthermore
    1.54
     Lastly
    1.51
     Consequently
    1.50
     Moreover
    1.48
     Specifically
    1.47
     These
    1.45
     Further
    1.40
    Activations Density 0.406%

    No Known Activations