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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. 4-RES-JB
    11. 20321
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    Explanations

    information related to scientific data and projections, specifically focusing on climate change and global temperature trends

    oai_token-act-pair · gpt-3.5-turbo

    terms related to climate change and its impacts

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

    No Comments

    Negative Logits
    uay
    -0.83
    udeb
    -0.80
    Veter
    -0.77
    ĪĴ
    -0.74
    ADRA
    -0.74
    actionDate
    -0.73
     Mechdragon
    -0.73
     marqu
    -0.73
     Franch
    -0.72
     typew
    -0.70
    POSITIVE LOGITS
     warming
    1.12
     datasets
    1.01
     atmospheric
    0.98
     forecasts
    0.98
     Temperature
    0.96
     rainfall
    0.96
     Climate
    0.96
    climate
    0.95
     warmer
    0.94
     temperatures
    0.94
    Activations Density 0.252%

    No Known Activations