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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. 669
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    INDEX
    Explanations

    references to the year 2019 or 2020

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 2019

    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
    arist
    -0.92
    riad
    -0.85
    iov
    -0.75
    onym
    -0.74
    ified
    -0.72
    atio
    -0.71
    stood
    -0.70
    ifying
    -0.70
    atown
    -0.70
    onia
    -0.70
    POSITIVE LOGITS
     onwards
    0.88
     versa
    0.77
     onward
    0.75
    059
    0.69
    2019
    0.66
    07
    0.66
     timeframe
    0.65
    09
    0.65
     inclusive
    0.65
     2019
    0.62
    Activations Density 0.011%

    No Known Activations