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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. 1-RES-JB
    11. 8980
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    Explanations

    references to environmental phenomena related to greenhouse gases

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with greenhouse gases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eon
    -0.78
    âĢ¢âĢ¢
    -0.73
     largeDownload
    -0.72
     Cantor
    -0.70
    ourning
    -0.67
    uyomi
    -0.66
    rupulous
    -0.65
    ammed
    -0.65
    arnaev
    -0.64
    enegger
    -0.64
    POSITIVE LOGITS
     greenhouse
    1.41
     gases
    1.08
     emissions
    0.99
     warming
    0.98
    warming
    0.94
     methane
    0.88
     gas
    0.86
     emits
    0.85
     emitting
    0.83
     deforestation
    0.79
    Activations Density 0.007%

    No Known Activations