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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. 8-RES-JB
    11. 8123
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    Explanations

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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enegger
    -0.82
    axy
    -0.81
    oslav
    -0.81
    cup
    -0.78
    bart
    -0.72
    axies
    -0.72
    sonian
    -0.72
    bite
    -0.71
    nuts
    -0.69
    angular
    -0.67
    POSITIVE LOGITS
     holder
    1.02
     holders
    1.01
     permitting
    0.95
     approvals
    0.94
     permit
    0.93
     permits
    0.93
     licenses
    0.89
     exemptions
    0.88
     waivers
    0.87
     authorizing
    0.82
    Activations Density 0.035%

    No Known Activations