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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. 5-RES-JB
    6. 15538
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    Explanations

    mentions of bans on various topics or items

    oai_token-act-pair · gpt-3.5-turbo

    references to bans or prohibitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Generations
    -0.78
     IMAGES
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    rious
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    lycer
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     Temper
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     Io
    -0.65
     Barg
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    Sea
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     Editors
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     PROG
    -0.62
    POSITIVE LOGITS
    ishment
    1.27
    hammer
    1.09
    hee
    0.89
    nered
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    ishing
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    jo
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    zai
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    tering
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    icip
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    Activations Density 0.017%

    No Known Activations