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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. 3397
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    Explanations

    mentions of environmental protection or agencies related to the environment

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental issues and organizations

    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
    dom
    -0.81
     Kinnikuman
    -0.81
    doms
    -0.79
    aus
    -0.79
    strap
    -0.79
    ching
    -0.74
    netflix
    -0.74
    TOP
    -0.74
    uld
    -0.72
    gb
    -0.72
    POSITIVE LOGITS
     Environmental
    1.10
     Environment
    1.04
    Environmental
    0.92
     environmental
    0.87
     pollut
    0.82
     hazards
    0.81
     stewards
    0.79
     pollutants
    0.78
     Assessment
    0.77
     environment
    0.77
    Activations Density 0.006%

    No Known Activations