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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. 2818
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    lists of related items or concepts

    oai_token-act-pair · gpt-3.5-turbo

    the presence of end-of-document indicators

    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
    enegger
    -0.71
    itaire
    -0.65
    ãĥ´ãĤ¡
    -0.63
    ItemTracker
    -0.61
    ãĥĩãĤ£
    -0.60
    inka
    -0.60
    agra
    -0.59
     Jagu
    -0.57
    itialized
    -0.57
     Vaugh
    -0.55
    POSITIVE LOGITS
     respectively
    0.85
     Includes
    0.77
    Includes
    0.68
     Finally
    0.62
     These
    0.62
     Together
    0.61
     Else
    0.61
    ↵↵
    0.60
    These
    0.60
    depending
    0.60
    Activations Density 0.880%

    No Known Activations