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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. 6-RES-JB
    11. 764
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    Explanations

    phrases related to economic activities and industry

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to economic and environmental concerns surrounding fossil fuels and energy production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Journal
    -0.68
     Anniversary
    -0.66
     Elijah
    -0.65
    canon
    -0.65
     Gamer
    -0.63
    iversary
    -0.63
     Diary
    -0.62
     confir
    -0.62
     Investigator
    -0.61
    hack
    -0.61
    POSITIVE LOGITS
     cheaply
    1.02
     factories
    0.94
     commodities
    0.94
     cheaper
    0.92
     industries
    0.91
     tariff
    0.90
     domestically
    0.89
    ufact
    0.87
     subsidized
    0.86
     suppliers
    0.86
    Activations Density 1.551%

    No Known Activations