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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. 0-RES-JB
    11. 636
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    Explanations

    phrases related to illegal financial activities, specifically money laundering

    oai_token-act-pair · gpt-3.5-turbo

    references to money laundering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Foss
    -0.79
    rik
    -0.69
    TED
    -0.68
    apple
    -0.66
     Garfield
    -0.66
    igers
    -0.66
     Dak
    -0.64
     Plan
    -0.64
     Opp
    -0.64
    riks
    -0.64
    POSITIVE LOGITS
     laundering
    3.21
    aundering
    2.27
     laund
    1.68
     heavyweight
    1.27
     boxer
    1.26
    aunder
    1.21
     boxing
    1.05
     QC
    1.03
     styling
    0.91
     grooming
    0.90
    Activations Density 0.029%

    No Known Activations