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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. 3-RES-JB
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    computer code related to data operations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and bracket-related syntax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    »Ĵ
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    mber
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    ppy
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    minster
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    eries
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     sag
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    RM
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    âĵĺ
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    pper
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    POSITIVE LOGITS
    IVERS
    0.78
    usra
    0.77
    aders
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    acements
    0.76
    ...]
    0.73
    ement
    0.72
     EntityItem
    0.72
    olan
    0.71
     ],
    0.69
    ].
    0.68
    Activations Density 0.025%

    No Known Activations