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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. 4-RES-JB
    11. 13699
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    Explanations

    time durations in minutes

    oai_token-act-pair · gpt-3.5-turbo

    references to time durations in minutes

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

    No Comments

    Negative Logits
    spons
    -0.75
    rim
    -0.74
    rite
    -0.70
    ries
    -0.69
    bard
    -0.67
    myra
    -0.65
    ebook
    -0.65
    imaru
    -0.65
    ded
    -0.64
    ashtra
    -0.63
    POSITIVE LOGITS
     Minutes
    0.94
     livest
    0.89
     ago
    0.86
    neapolis
    0.86
     mins
    0.85
     cooldown
    0.83
    poons
    0.83
    uters
    0.80
    hift
    0.79
    isters
    0.79
    Activations Density 0.031%

    No Known Activations