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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. 9-RES-JB
    6. 18035
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    INDEX
    Explanations

    mentions of career progression or trajectory

    oai_token-act-pair · gpt-3.5-turbo

    statements about opinions and evaluations of events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughtered
    -0.68
    english
    -0.67
     Experts
    -0.65
     polled
    -0.64
     Countries
    -0.64
    oris
    -0.63
    ople
    -0.62
     Majority
    -0.62
     QC
    -0.61
    yout
    -0.61
    POSITIVE LOGITS
     existential
    0.82
     synonymous
    0.80
    mbol
    0.80
    chwitz
    0.78
     vind
    0.74
     tant
    0.73
     reassuring
    0.73
     symbol
    0.72
     akin
    0.71
     simply
    0.71
    Activations Density 0.312%

    No Known Activations