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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. 10166
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ãĥ¥
    -0.75
    -,
    -0.69
    arily
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    ãĤ´
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    Detailed
    -0.63
    MpServer
    -0.62
    ,...
    -0.62
    ļéĨĴ
    -0.60
    inar
    -0.60
    Includes
    -0.60
    POSITIVE LOGITS
     however
    1.20
     though
    1.04
     therefore
    0.88
     it
    0.87
     although
    0.86
     we
    0.82
     moreover
    0.80
     yes
    0.78
     there
    0.78
     they
    0.76
    Activations Density 0.253%

    No Known Activations