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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. 2-RES-JB
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    Explanations

    time durations specified in minutes

    oai_token-act-pair · gpt-3.5-turbo

    references to time durations, specifically in minutes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ries
    -0.77
    spons
    -0.75
    rim
    -0.71
    ebook
    -0.66
    ortium
    -0.64
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    -0.64
    Collect
    -0.63
    Support
    -0.62
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    POSITIVE LOGITS
     Minutes
    1.04
     mins
    1.01
    endment
    0.92
    ilver
    0.88
     minutes
    0.88
    neapolis
    0.87
     ago
    0.87
    uters
    0.79
    nesota
    0.79
    poons
    0.77
    Activations Density 0.023%

    No Known Activations