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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. 11-RES-JB
    11. 22096
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to finance, technology, and health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bernatorial
    -0.64
     surely
    -0.60
     WARN
    -0.59
    76561
    -0.58
     wont
    -0.57
    Conclusion
    -0.57
    cember
    -0.55
     wiser
    -0.55
     perish
    -0.54
    azes
    -0.54
    POSITIVE LOGITS
     whereby
    0.86
     which
    0.83
     .
    0.83
    ®,
    0.83
     ,
    0.81
    which
    0.81
     aka
    0.78
    .[
    0.78
    ,[
    0.77
     ("
    0.76
    Activations Density 0.533%

    No Known Activations