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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. 2-RES-JB
    11. 18794
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    the presence of notes or annotations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    activity
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    POSITIVE LOGITS
    books
    1.11
    book
    1.03
    BOOK
    1.02
     Note
    0.96
     Notes
    0.95
    Pad
    0.87
     note
    0.83
    backer
    0.80
    Notes
    0.78
     Scroll
    0.76
    Activations Density 0.013%

    No Known Activations