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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. 13502
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    Explanations

    mentions of the medical condition "Ebola"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of health-related issues, particularly diseases like Ebola and asbestos exposure

    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
    Not in Any Lists

    No Comments

    Negative Logits
     à¨
    -0.77
    rawdownloadcloneembedreportprint
    -0.75
    edom
    -0.74
    UTC
    -0.72
     partName
    -0.70
    ++++++++++++++++
    -0.70
     guiActiveUnfocused
    -0.69
    éĸ
    -0.69
    othy
    -0.69
    æĦ
    -0.67
    POSITIVE LOGITS
     virus
    1.08
     Ebola
    1.03
     outbreak
    1.00
     outbreaks
    0.96
     epidemic
    0.93
     Outbreak
    0.92
     toxin
    0.87
     Virus
    0.86
     infections
    0.84
     contag
    0.84
    Activations Density 0.009%

    No Known Activations