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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. 11-RES-JB
    11. 474
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    Explanations

    phrases emphasizing the importance of caution or warning

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing caution or carefulness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    heid
    -0.70
    Solution
    -0.63
    ãĥ¼ãĥĨãĤ£
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    eworks
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    ilater
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    hung
    -0.57
     miracle
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    IRE
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    installed
    -0.54
    ificantly
    -0.54
    POSITIVE LOGITS
     lest
    1.26
     about
    0.91
     when
    0.85
     regarding
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     interpreting
    0.77
     not
    0.75
     concerning
    0.74
     respecting
    0.71
    assetsadobe
    0.71
    cerning
    0.69
    Activations Density 0.098%

    No Known Activations