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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. 7-RES-JB
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itar
    -0.87
    Dur
    -0.79
    aign
    -0.72
    ŃĶ
    -0.72
     Kend
    -0.70
    Constructed
    -0.66
     Females
    -0.65
    Whe
    -0.64
     Fitness
    -0.64
    pine
    -0.64
    POSITIVE LOGITS
    aundering
    1.47
     laundering
    1.23
     laund
    1.09
     bribery
    1.03
     dealings
    0.98
     scams
    0.97
    aunder
    0.96
     fraud
    0.94
     smuggling
    0.93
    ster
    0.93
    Activations Density 0.116%

    No Known Activations