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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. 23071
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    Explanations

    mentions related to electrochemistry

    oai_token-act-pair · gpt-3.5-turbo

    terms related to electrochemical concepts and their applications

    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
     Responsibility
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     Burk
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     Interest
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     exception
    -0.69
     Cache
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     Enterprise
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     McL
    -0.68
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    chemical
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    1.03
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    shock
    0.97
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    0.96
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    0.94
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    0.92
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    0.91
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    0.89
    Activations Density 0.007%

    No Known Activations