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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. 14274
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    Explanations

    mentions of emissions, particularly those related to human activity and environmental impact

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental emissions

    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
    Else
    -1.00
    Otherwise
    -0.78
     Acqu
    -0.76
    Boss
    -0.75
    ISH
    -0.71
    \":
    -0.71
    OVA
    -0.69
    si
    -0.69
     Else
    -0.68
    rooms
    -0.68
    POSITIVE LOGITS
     emissions
    1.36
     emission
    1.20
     emitting
    0.96
     dioxide
    0.95
     pollution
    0.92
     pollutants
    0.86
     emit
    0.85
     emitted
    0.85
     pollut
    0.85
     gases
    0.83
    Activations Density 0.016%

    No Known Activations