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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. 23059
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    Explanations

    mentions of authors and their works

    oai_token-act-pair · gpt-3.5-turbo

    the term "author" and its variations used in the context of attributing works or identifying individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Slot
    -0.71
    Gun
    -0.70
     Spears
    -0.70
    xon
    -0.69
     Oval
    -0.69
     valve
    -0.67
    Chat
    -0.67
    EMS
    -0.66
     Messi
    -0.65
     Cot
    -0.65
    POSITIVE LOGITS
    itatively
    1.35
     author
    1.20
    essee
    1.04
    lisher
    0.99
     authors
    0.98
    creator
    0.97
     Author
    0.96
    writer
    0.94
     writer
    0.92
    author
    0.91
    Activations Density 0.012%

    No Known Activations