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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. 9-RES-JB
    11. 15759
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    oai_token-act-pair · gpt-3.5-turbo

    references to court proceedings and legal documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ï¸ı
    -0.73
     Saban
    -0.73
    yip
    -0.69
     Pyro
    -0.67
    jiang
    -0.63
     sow
    -0.63
    HY
    -0.62
     Cameroon
    -0.62
     Leone
    -0.61
     Haram
    -0.60
    POSITIVE LOGITS
    rooms
    1.38
    esan
    1.19
    auld
    1.17
    room
    1.16
     proceedings
    1.02
     filings
    1.01
     martial
    0.94
     hearings
    0.92
     documents
    0.90
    ney
    0.88
    Activations Density 0.041%

    No Known Activations