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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. 11412
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    Explanations

    numbers and financial values

    oai_token-act-pair · gpt-3.5-turbo

    references to animated films or media

    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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    No Comments

    Negative Logits
     guiName
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    etheless
    -0.60
    ãĢİ
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    ":[{"
    -0.51
    ãĢIJ
    -0.50
    Newsletter
    -0.48
     showc
    -0.47
    ADVERTISEMENT
    -0.46
    âĶĢâĶĢâĶĢâĶĢ
    -0.46
    Published
    -0.46
    POSITIVE LOGITS
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    2.06
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    2.06
    ),
    2.03
    )."
    2.03
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    2.02
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    2.00
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    1.98
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    1.98
    ).
    1.96
    Activations Density 1.203%

    No Known Activations