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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. 24153
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    Explanations

    punctuation marks at the end of sentences

    oai_token-act-pair · gpt-3.5-turbo

    sentences that convey finality or conclusion

    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
     tremend
    -1.14
     gobl
    -1.08
     volunte
    -0.98
     satell
    -0.98
     challeng
    -0.96
     carbohyd
    -0.95
     defe
    -0.95
     facult
    -0.92
     affili
    -0.92
     glim
    -0.91
    POSITIVE LOGITS
     However
    1.24
    ↵
    1.19
     Specifically
    1.18
     Essentially
    1.18
     Unfortunately
    1.15
     Interestingly
    1.15
     Thankfully
    1.14
     Notably
    1.14
     Additionally
    1.14
     Presumably
    1.13
    Activations Density 0.622%

    No Known Activations