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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. 1-RES-JB
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    Explanations

    mentions of political leaders holding the title of "Minister"

    oai_token-act-pair · gpt-3.5-turbo

    references to government officials, specifically Prime Ministers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sled
    -0.73
    avery
    -0.72
     discriminating
    -0.72
    ciplinary
    -0.68
    points
    -0.68
    owler
    -0.67
    ever
    -0.67
    bleacher
    -0.66
    imb
    -0.66
    atts
    -0.65
    POSITIVE LOGITS
     Minister
    1.02
     ministers
    0.98
     Shinzo
    0.96
     Ministers
    0.93
     minister
    0.89
    Prime
    0.85
     Narendra
    0.84
     Treasurer
    0.83
     ministerial
    0.81
     Finance
    0.81
    Activations Density 0.033%

    No Known Activations