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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. 2916
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    Explanations

    mentions of different individuals and their professional affiliations, such as politicians, scientists, and government officials

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals and their professional roles or accomplishments

    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
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    Negative Logits
     Vaugh
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     unnecess
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     glim
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     shenan
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     tremend
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    ulative
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     subtle
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     nonex
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     Defin
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     awa
    -0.51
    POSITIVE LOGITS
    ,[
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    ?,
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    Joined
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    ,...
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    )?
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    ,
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    },
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    );
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     ©
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    ;;;;;;;;;;;;
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    Activations Density 0.905%

    No Known Activations