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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. 6-RES-JB
    6. 22200
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    Explanations

    descriptive words related to articles and written content

    oai_token-act-pair · gpt-3.5-turbo

    references to original content or articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    cellaneous
    -0.69
    ileged
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    ensitive
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    minist
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    quished
    -0.64
    lain
    -0.63
    eric
    -0.63
    enged
    -0.62
    POSITIVE LOGITS
    ãĤ¨ãĥ«
    0.78
    SpaceEngineers
    0.73
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    0.67
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    0.66
    ãĤ·ãĥ£
    0.66
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    0.63
    ItemImage
    0.63
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    0.61
    Activations Density 0.143%

    No Known Activations