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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. 1-RES-JB
    6. 6210
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    INDEX
    Explanations

    information related to criminal activity or law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of crime and related terminology

    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
    sburg
    -0.90
    ding
    -0.76
    arians
    -0.75
    ounter
    -0.75
     dedication
    -0.74
    eling
    -0.71
    elin
    -0.71
     nont
    -0.71
     flu
    -0.70
    ithing
    -0.69
    POSITIVE LOGITS
     Crime
    1.26
     Rating
    1.07
     Crimes
    0.95
     Matters
    0.93
     Statistics
    0.90
     Fund
    0.90
     Procedure
    0.89
     Disorders
    0.89
     Records
    0.89
     Crim
    0.89
    Activations Density 0.033%

    No Known Activations