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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. 3-RES-JB
    11. 15467
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    Explanations

    terms related to medical conditions and analysis, specifically focusing on cancer rates and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    corporate names or financial references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Austral
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    geist
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     Aunt
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     skelet
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    å§
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    FORE
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    uve
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     Merge
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    !/
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    irtual
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    POSITIVE LOGITS
    ILY
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    inished
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    ounty
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     warranted
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    itably
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    itivity
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     honored
    0.62
    vasive
    0.61
     statewide
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    endant
    0.61
    Activations Density 0.000%

    No Known Activations