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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. 11-RES-JB
    11. 4183
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    Explanations

    financial crimes and illegal activities related to money

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terminology related to financial crimes and scams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.79
    utenberg
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.71
    icol
    -0.71
    ãĥ´
    -0.70
    olon
    -0.69
    cens
    -0.67
    ishops
    -0.67
     Perspect
    -0.67
    terness
    -0.67
    POSITIVE LOGITS
     bribes
    1.67
     fraudulent
    1.45
     bribe
    1.42
     extortion
    1.33
     phony
    1.31
     fraud
    1.29
     bogus
    1.28
     scams
    1.26
     laundering
    1.24
     payments
    1.22
    Activations Density 0.579%

    No Known Activations