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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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    INDEX
    Explanations

    phrases related to legal or judicial settings, especially the term "courtroom"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of courtrooms or courthouses

    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
    ordinate
    -0.76
    lust
    -0.74
    iments
    -0.70
    ggies
    -0.67
    hy
    -0.67
    ifles
    -0.67
    ku
    -0.66
    popular
    -0.65
    haps
    -0.64
    tails
    -0.63
    POSITIVE LOGITS
     courtroom
    1.10
     courthouse
    0.85
     Gorsuch
    0.84
     proceedings
    0.83
     rulings
    0.78
     hearings
    0.74
     Settlement
    0.71
    thouse
    0.69
     mog
    0.69
     Ambro
    0.68
    Activations Density 0.005%

    No Known Activations