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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6736
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    Explanations

    sentences containing legal terms or involving court proceedings

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to legal proceedings and court cases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     favored
    -0.94
    Newsletter
    -0.93
    ospons
    -0.86
    Washington
    -0.80
    Kansas
    -0.79
     favor
    -0.78
    avored
    -0.78
     favors
    -0.78
    Zip
    -0.75
    NYSE
    -0.74
    POSITIVE LOGITS
     apologised
    1.23
     realise
    1.17
     apologise
    1.13
     organisers
    1.12
     paed
    1.10
     footballer
    1.10
     criticised
    1.08
     recognise
    1.07
     analyse
    1.07
     analys
    1.03
    Activations Density 1.200%

    No Known Activations