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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. 3-RES-JB
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    terms related to quantum physics and quantum computing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantum technology and computing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    _-
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    baugh
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    anie
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    gre
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    Interstitial
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    ========
    -0.68
    essee
    -0.67
     Wanted
    -0.66
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    -0.65
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    -0.65
    POSITIVE LOGITS
    illion
    1.00
     physicists
    0.91
     leaps
    0.91
     physicist
    0.90
     gravity
    0.84
     quantum
    0.82
     physics
    0.80
     leap
    0.79
     computing
    0.78
     fluctuations
    0.78
    Activations Density 0.010%

    No Known Activations