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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. 0-RES-JB
    11. 1687
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    Explanations

    references to books

    oai_token-act-pair · gpt-3.5-turbo

    references to books and reading materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÃŁ
    -0.74
    Parameter
    -0.69
    inal
    -0.65
    nesday
    -0.65
    elta
    -0.64
    imet
    -0.64
    olate
    -0.63
     [+]
    -0.63
    FIG
    -0.62
    ¶ħ
    -0.61
    POSITIVE LOGITS
     books
    3.79
    books
    2.64
     Books
    2.49
    Books
    2.35
     book
    2.34
     novels
    2.26
     textbooks
    2.24
     BOOK
    1.96
    book
    1.80
     Book
    1.79
    Activations Density 0.022%

    No Known Activations