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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. 1-RES-JB
    11. 8682
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    Explanations

    phrases related to fraudulent or unethical actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fraud and deception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arya
    -0.76
    hens
    -0.71
    cest
    -0.68
    imb
    -0.68
    ires
    -0.66
     guiName
    -0.64
    ÅŁ
    -0.64
    thinkable
    -0.64
    ILA
    -0.63
    cknow
    -0.63
    POSITIVE LOGITS
     fraudulent
    1.00
     bogus
    0.85
    ulent
    0.82
     fraud
    0.81
     scam
    0.80
     counterfeit
    0.80
     credit
    0.80
     falsely
    0.80
    itous
    0.78
     fals
    0.77
    Activations Density 0.021%

    No Known Activations