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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ulhu
    -0.91
    atown
    -0.79
    enegger
    -0.77
    kok
    -0.75
    zai
    -0.73
    ler
    -0.73
    inion
    -0.71
    psey
    -0.70
    nen
    -0.69
     Zed
    -0.68
    POSITIVE LOGITS
     storage
    1.03
    storage
    0.90
     cellar
    0.86
    Storage
    0.85
     shelves
    0.84
     Storage
    0.83
    istics
    0.80
     medium
    0.80
     closet
    0.79
    DAQ
    0.78
    Activations Density 0.021%

    No Known Activations