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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
    11. 3723
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    keywords related to JSON data format

    oai_token-act-pair · gpt-3.5-turbo

    references to JSON and CSV data formats

    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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    Negative Logits
    ners
    -0.74
    anti
    -0.73
    rug
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    ________________
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    ndra
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    Downloadha
    -0.68
    ggies
    -0.68
    ichita
    -0.68
     Dull
    -0.68
    higher
    -0.68
    POSITIVE LOGITS
     RPC
    0.97
     JSON
    0.86
    JSON
    0.83
     schema
    0.80
    icter
    0.76
     encoded
    0.74
    ©¶æ¥µ
    0.72
     container
    0.72
     parser
    0.70
     extracted
    0.70
    Activations Density 0.007%

    No Known Activations