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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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    phrases related to 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 @ 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
    ixels
    -0.73
    ENTS
    -0.69
     Upton
    -0.68
     Peters
    -0.67
    Walker
    -0.67
    Tel
    -0.67
    eeks
    -0.66
    DEM
    -0.65
    @#&
    -0.64
     Eat
    -0.64
    POSITIVE LOGITS
    aundering
    1.49
     laundering
    1.41
     laund
    1.02
     undermin
    0.90
     trafficking
    0.85
     smuggling
    0.83
     fueling
    0.83
    entimes
    0.82
     banking
    0.79
     scams
    0.79
    Activations Density 0.017%

    No Known Activations