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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. 4015
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    Explanations

    words related to environmental impact, specifically focusing on emissions and reducing carbon footprints

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental emissions

    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
    Else
    -0.95
    inosaur
    -0.74
    ISH
    -0.74
    ivas
    -0.72
    amina
    -0.72
    rooms
    -0.71
     Else
    -0.70
    slice
    -0.66
    uscript
    -0.66
     Lob
    -0.66
    POSITIVE LOGITS
     emissions
    1.34
     emission
    1.07
     emitting
    1.00
     gases
    0.96
     pollution
    0.95
     dioxide
    0.93
     emitted
    0.92
     pollutants
    0.91
     emit
    0.89
     leakage
    0.86
    Activations Density 0.020%

    No Known Activations