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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. 8-RES-JB
    6. 3818
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    Explanations

    phrases related to strict standards or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to food safety and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oldemort
    -0.69
    gered
    -0.66
    rez
    -0.65
    nova
    -0.64
    dream
    -0.63
    urther
    -0.62
    future
    -0.62
    izons
    -0.60
    plot
    -0.60
     Machina
    -0.59
    POSITIVE LOGITS
     routinely
    1.08
     oversees
    1.03
     audits
    1.00
     staffed
    0.94
     regulates
    0.89
     enforcing
    0.89
     regularly
    0.88
     governs
    0.87
     annually
    0.85
     employs
    0.84
    Activations Density 1.552%

    No Known Activations