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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. 21805
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    INDEX
    Explanations

    mentions of specific topics like Muslim Prophet, recreational drug use, transgender issues, carbon pricing, emissions reduction, unemployment, ISIS, television, recycling, merging, minority populations, opioids, international matters, wages, benefits, healthcare, soccer, and more

    oai_token-act-pair · gpt-3.5-turbo

    references to specific social and political topics or issues

    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
    ;;;;;;;;
    -0.61
    each
    -0.61
    enegger
    -0.61
    ,,,,
    -0.61
    rely
    -0.61
    olia
    -0.60
     Edited
    -0.60
    ĸļ
    -0.60
    ;;
    -0.59
    avia
    -0.58
    POSITIVE LOGITS
     portion
    1.06
     aspect
    0.89
     sector
    0.85
     process
    0.84
     gap
    0.83
     component
    0.83
     bandwagon
    0.81
     menace
    0.80
     element
    0.80
     divide
    0.79
    Activations Density 0.628%

    No Known Activations