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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16136
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    Explanations

    phrases related to violations of laws or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to legal violations and laws

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isSpecialOrderable
    -0.81
    soDeliveryDate
    -0.78
    uilding
    -0.74
    ussen
    -0.72
    akeru
    -0.71
    idates
    -0.70
    INGTON
    -0.70
    osaurus
    -0.68
    acs
    -0.68
    hin
    -0.68
    POSITIVE LOGITS
     norms
    1.06
     norm
    0.95
     principle
    0.92
     principles
    0.90
     jurisdiction
    0.89
     jurisd
    0.87
     confidentiality
    0.86
     tenets
    0.85
     precept
    0.84
     sensibilities
    0.79
    Activations Density 0.351%

    No Known Activations