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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. 20659
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    Explanations

    references and edits in a structured format, such as footnotes and edits

    oai_token-act-pair · gpt-3.5-turbo

    references or citations in a text

    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
    roph
    -0.64
     ele
    -0.62
     hous
    -0.59
    hement
    -0.59
    ufact
    -0.59
    efe
    -0.58
     hashing
    -0.57
    axy
    -0.57
     layoffs
    -0.56
    way
    -0.56
    POSITIVE LOGITS
    âĨij
    0.90
    pmwiki
    0.88
    Footnote
    0.77
    References
    0.77
    BOOK
    0.75
    Sources
    0.73
     Gaul
    0.69
    agascar
    0.69
    Past
    0.69
    Notes
    0.68
    Activations Density 0.108%

    No Known Activations