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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. 1-RES-JB
    11. 6609
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    Explanations

    references to specific chapters in a book or series

    oai_token-act-pair · gpt-3.5-turbo

    references to chapters in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    oles
    -0.82
    ãĤ½
    -0.72
     prime
    -0.68
    milo
    -0.68
     skate
    -0.68
     flyers
    -0.66
     cheese
    -0.66
    nic
    -0.66
    enez
    -0.66
     scatter
    -0.65
    POSITIVE LOGITS
    Chapter
    1.36
     Chapter
    1.36
     Chapters
    1.17
    CHAPTER
    1.01
    chapter
    0.97
    ĸļ
    0.88
    APTER
    0.86
     chapter
    0.85
    DIV
    0.84
     Prol
    0.81
    Activations Density 0.005%

    No Known Activations