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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. 7-RES-JB
    11. 11033
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    Explanations

    references to the Wall Street Journal

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Wall Street Journal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    netflix
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    ELY
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    ibilities
    -0.70
    Ô
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    -0.70
    ¯¯¯¯
    -0.70
    POSITIVE LOGITS
     Journal
    1.15
     firms
    1.08
     bankers
    0.96
     analysts
    0.91
     Banking
    0.90
     banker
    0.85
     Consulting
    0.84
     banking
    0.82
     analyst
    0.81
     banks
    0.81
    Activations Density 0.023%

    No Known Activations