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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. 17974
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    INDEX
    Explanations

    phrases or words related to legal settings, particularly courtrooms

    oai_token-act-pair · gpt-3.5-turbo

    references to courtrooms and courthouses

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ku
    -0.78
    omatic
    -0.76
    oms
    -0.73
    oute
    -0.72
    laus
    -0.72
    hy
    -0.71
    iments
    -0.70
    lay
    -0.70
    umar
    -0.68
    ordinate
    -0.68
    POSITIVE LOGITS
     courthouse
    1.02
     courtroom
    1.01
     proceedings
    0.92
     hearings
    0.88
    thouse
    0.83
     rulings
    0.80
     Proceedings
    0.79
     Gorsuch
    0.78
     Ambro
    0.75
     suites
    0.75
    Activations Density 0.007%

    No Known Activations