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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8651
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    INDEX
    Explanations

    mentions of greenhouse gases and emissions

    oai_token-act-pair · gpt-3.5-turbo

    references to greenhouse gases and their impacts on the environment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Naj
    -0.91
     Cannes
    -0.71
     Dare
    -0.69
    odore
    -0.68
     Mirror
    -0.67
     Bene
    -0.67
    umbn
    -0.67
     Valiant
    -0.67
     Zup
    -0.65
    ioned
    -0.65
    POSITIVE LOGITS
     gases
    1.57
     gas
    1.39
     emissions
    1.21
    gas
    1.21
     greenhouse
    1.12
     dioxide
    1.09
     methane
    1.03
     warming
    1.03
    Gas
    1.03
     emission
    0.97
    Activations Density 0.020%

    No Known Activations