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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. 12-RES-JB
    11. 3020
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    Explanations

    phrases related to environmental issues, specifically related to emissions from fossil fuels and industry

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to carbon emissions and fossil fuel usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Score
    -0.81
    clair
    -0.72
    mbudsman
    -0.71
     Arbit
    -0.70
     Loan
    -0.69
    Trust
    -0.68
    ãĤ¤ãĥĪ
    -0.68
    FREE
    -0.66
     Liberties
    -0.66
    ouf
    -0.65
    POSITIVE LOGITS
     fossil
    1.32
     burning
    1.30
     combustion
    1.27
     coal
    1.17
     automobiles
    1.12
     factories
    1.12
     inciner
    1.10
     fuels
    1.06
     deforestation
    1.05
     emitting
    1.05
    Activations Density 0.271%

    No Known Activations