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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. 9-RES-JB
    11. 13574
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    Explanations

    phrases related to regulations, compliance, audits, and monitoring of various activities

    oai_token-act-pair · gpt-3.5-turbo

    references to regulation and oversight in financial and governmental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oit
    -0.76
    albeit
    -0.75
    love
    -0.75
    avascript
    -0.70
    odder
    -0.68
    quite
    -0.67
    laugh
    -0.66
    Love
    -0.66
    little
    -0.65
    tml
    -0.64
    POSITIVE LOGITS
     every
    0.96
     compliance
    0.94
     Compliance
    0.91
     appropriate
    0.88
     procedures
    0.86
     audits
    0.85
     offenders
    0.82
     each
    0.81
     policies
    0.81
     adequ
    0.80
    Activations Density 0.503%

    No Known Activations