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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 19650
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    Explanations

    quotes within text

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue segments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     favor
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     sway
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     favored
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     periodic
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     adjud
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     dispar
    -0.75
     unborn
    -0.74
     parting
    -0.74
     meta
    -0.74
     rul
    -0.72
    POSITIVE LOGITS
    They
    1.39
    We
    1.36
    It
    1.35
    Especially
    1.33
    Because
    1.33
    Everybody
    1.32
    Whereas
    1.32
    Nobody
    1.32
    I
    1.32
    Sometimes
    1.31
    Activations Density 0.081%

    No Known Activations