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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 5100
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    terms related to quantum computing

    oai_token-act-pair · gpt-3.5-turbo

    references to quantum computing concepts and technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    baugh
    -0.89
    essee
    -0.83
    _-
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    anie
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    xual
    -0.67
    say
    -0.66
     Kers
    -0.65
    olulu
    -0.65
    HOME
    -0.64
    iage
    -0.63
    POSITIVE LOGITS
     computing
    0.92
     physicist
    0.87
    agine
    0.86
     mechanical
    0.81
     physicists
    0.81
     gravity
    0.80
     cryptography
    0.79
     mechanics
    0.79
     physics
    0.77
     fluctuations
    0.77
    Activations Density 0.049%

    No Known Activations