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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. 6-RES-JB
    11. 11540
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    Explanations

    time durations denoted in minutes

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time in minutes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bard
    -0.82
    spons
    -0.77
    ashtra
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    ded
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    ebook
    -0.69
    liga
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    imaru
    -0.68
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    -0.68
    Las
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    POSITIVE LOGITS
     cooldown
    0.85
     elapsed
    0.85
     Minutes
    0.84
    hift
    0.84
     lapse
    0.84
     livest
    0.84
     ago
    0.81
    uters
    0.80
     ticking
    0.76
    otaur
    0.75
    Activations Density 0.034%

    No Known Activations