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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. 23342
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    Explanations

    words related to environmental issues, particularly those involving forests and logging

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to environmental issues and logging impacts

    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
    HK
    -0.73
     wrists
    -0.71
    aptic
    -0.71
    ICT
    -0.69
     istg
    -0.67
    terior
    -0.64
    agonists
    -0.64
    chel
    -0.64
     prost
    -0.63
    Roy
    -0.62
    POSITIVE LOGITS
    conservancy
    1.00
     biodiversity
    0.96
     vegetation
    0.94
    forest
    0.94
     forests
    0.92
     Conservation
    0.91
     Refuge
    0.90
     Wildlife
    0.89
     ecosystems
    0.89
     ponds
    0.89
    Activations Density 0.563%

    No Known Activations