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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. 4-RES-JB
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    phrases related to law enforcement and legal terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to law enforcement and legal compliance

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

    No Comments

    Negative Logits
    yip
    -0.82
    auga
    -0.80
    voy
    -0.79
    selage
    -0.78
    ako
    -0.75
    ngth
    -0.75
    gall
    -0.73
    iasm
    -0.70
    zinski
    -0.67
    emi
    -0.67
    POSITIVE LOGITS
    enforcement
    0.96
     regulating
    0.88
     jurisdiction
    0.77
     ACTIONS
    0.74
    DEBUG
    0.72
     prohibiting
    0.70
     precedent
    0.70
     regulations
    0.69
     enforce
    0.69
     regulation
    0.69
    Activations Density 0.319%

    No Known Activations