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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. 0-RES-JB
    11. 9880
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    Explanations

    words related to environmental issues, specifically focusing on Superfund sites

    oai_token-act-pair · gpt-3.5-turbo

    references to funding and financial support, particularly related to environmental issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     skilled
    -0.63
     silhouette
    -0.62
     natives
    -0.62
     buzzing
    -0.62
     pleasure
    -0.62
     enchanted
    -0.61
     chains
    -0.61
     insertion
    -0.61
     imitation
    -0.60
     occupants
    -0.60
    POSITIVE LOGITS
    fund
    4.52
    Fund
    2.48
    funding
    1.91
     Fund
    1.63
     fund
    1.59
    funded
    1.49
     Funds
    1.41
     Fundamental
    1.22
     funds
    1.16
     Funding
    1.13
    Activations Density 0.019%

    No Known Activations