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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. 2-RES-JB
    11. 21535
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    Explanations

    references to the University of California (UC)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the University of California system

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    igree
    -0.77
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    folk
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    esthetic
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    iasis
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    hab
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     separating
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    POSITIVE LOGITS
    UC
    1.06
    MJ
    1.00
    ANN
    0.92
     UC
    0.90
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    0.88
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    0.86
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    0.83
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    FG
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    Activations Density 0.009%

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