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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. 19729
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    Explanations

    diverse collections or ranges of items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    numerical values related to measurements or quantities

    oai_token-act-pair · gpt-3.5-turbo
    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
    ?).
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    Too
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    Lens
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    Wr
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    Sorry
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    Exit
    -0.57
    Brexit
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    livion
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    doesn
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    xit
    -0.56
    POSITIVE LOGITS
     throughout
    0.88
     extensively
    0.82
     principally
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     ranging
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     primarily
    0.76
     mainly
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     numerous
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     continuously
    0.75
     tremendously
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     internationally
    0.73
    Activations Density 1.106%

    No Known Activations