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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. 8-RES-JB
    6. 24216
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    Explanations

    mentions of magazine issues or editions

    oai_token-act-pair · gpt-3.5-turbo

    references to magazine or publication issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    raltar
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    bones
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    eric
    -0.72
     imperson
    -0.70
    ensions
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    rous
    -0.67
    POSITIVE LOGITS
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    0.85
     Comics
    0.82
     Torrent
    0.71
     Comic
    0.69
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    0.66
    Issue
    0.66
     Valiant
    0.65
     Editors
    0.65
    ials
    0.63
    Journal
    0.63
    Activations Density 0.032%

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