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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. 2-RES-JB
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    Explanations

    references to legal settings, specifically courtrooms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of courtrooms and courthouses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iments
    -0.80
    ku
    -0.76
    hy
    -0.73
    haps
    -0.73
    eworld
    -0.72
    umar
    -0.70
    laus
    -0.70
    eded
    -0.70
    omatic
    -0.70
    oms
    -0.69
    POSITIVE LOGITS
     courtroom
    1.08
     courthouse
    1.04
     proceedings
    0.88
     hearings
    0.83
    thouse
    0.79
     Clerk
    0.77
     Proceedings
    0.76
     Settlement
    0.75
     rulings
    0.74
     Ambro
    0.72
    Activations Density 0.004%

    No Known Activations