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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. 9-RES-JB
    11. 2502
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    Explanations

    words related to financial transactions, specifically highlighting terms associated with money laundering

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICLE
    -0.71
    SPA
    -0.67
    Minor
    -0.67
    VD
    -0.63
     Sue
    -0.62
     wom
    -0.62
     Fuk
    -0.62
    Artist
    -0.60
    COMPLE
    -0.60
    Interstitial
    -0.60
    POSITIVE LOGITS
     laundering
    1.53
    bags
    1.16
    flow
    0.98
    aundering
    0.91
    flows
    0.90
    frame
    0.90
    making
    0.89
     flows
    0.86
    bag
    0.85
     transfers
    0.82
    Activations Density 0.048%

    No Known Activations