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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. 4797
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    Explanations

    words related to illegal actions or dishonesty, particularly focusing on the concept of fraud

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fraudulent activities

    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
    zie
    -0.77
    NPR
    -0.74
    uki
    -0.71
     Heavy
    -0.66
    agon
    -0.65
    zl
    -0.63
    illa
    -0.62
     Portable
    -0.61
    cho
    -0.61
    mk
    -0.61
    POSITIVE LOGITS
     fraud
    3.64
     Fraud
    2.94
     fraudulent
    2.29
    raud
    2.03
     scams
    1.94
     scam
    1.84
     deception
    1.69
     counterfe
    1.68
     counterfeit
    1.60
     hoax
    1.57
    Activations Density 0.031%

    No Known Activations