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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. 9-RES-JB
    11. 2448
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cous
    -0.65
     actionGroup
    -0.65
     CTR
    -0.62
     Torrent
    -0.61
     Investigator
    -0.61
    PDATE
    -0.60
     Tend
    -0.60
     perspect
    -0.59
     dexter
    -0.57
     Reporting
    -0.56
    POSITIVE LOGITS
     2024
    0.93
    ortium
    0.88
    utonium
    0.86
     2025
    0.85
     2050
    0.85
     2030
    0.81
     2022
    0.80
     2020
    0.79
     adulthood
    0.74
    ateg
    0.74
    Activations Density 0.403%

    No Known Activations