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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. 3954
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    Explanations

    information related to environmental and economic issues, particularly focusing on the impact of human activities on nature and society

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

    content pertaining to future implications and warnings about environmental and health threats

    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
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    POSITIVE LOGITS
     wellbeing
    1.32
     viability
    1.30
     integrity
    1.16
     environment
    1.15
     stability
    1.13
     quality
    1.10
     livelihood
    1.09
     lives
    1.09
     sustainability
    1.07
     economy
    1.07
    Activations Density 0.231%

    No Known Activations