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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. 7-RES-JB
    11. 3600
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    Explanations

    terms related to federal institutions or positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of federal government entities or agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    maxwell
    -0.87
    Jones
    -0.84
     Cosby
    -0.78
    Reilly
    -0.77
     rive
    -0.76
     Mormonism
    -0.75
     Bundy
    -0.75
     Mormons
    -0.74
     Buffett
    -0.73
    Todd
    -0.72
    POSITIVE LOGITS
     Directorate
    1.12
    fecture
    1.02
    onomous
    0.95
     Municip
    0.95
    ÄŁ
    0.90
     Organisation
    0.90
     Yuan
    0.88
    ariat
    0.86
     Tamil
    0.85
     Ministry
    0.85
    Activations Density 0.435%

    No Known Activations