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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. 17268
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    Explanations

    phrases related to political proceedings or debates in a legislative setting

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative processes and locations within a parliamentary context

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    resp
    -0.83
     Shelter
    -0.73
     Raf
    -0.68
     Lur
    -0.68
     Trend
    -0.67
    zsche
    -0.65
     Shinji
    -0.65
     traffickers
    -0.64
     Dest
    -0.64
    Trend
    -0.63
    POSITIVE LOGITS
     senate
    0.93
     veto
    0.92
     motions
    0.90
     filibuster
    0.87
    sembly
    0.86
    soDeliveryDate
    0.85
    OTUS
    0.84
    Senate
    0.84
     committee
    0.82
     legislative
    0.82
    Activations Density 0.074%

    No Known Activations