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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15493
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    Explanations

    terms related to regulations, compliance, and oversight in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulatory frameworks and compliance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.80
    eele
    -0.77
    minster
    -0.76
    lace
    -0.76
    tre
    -0.74
    osite
    -0.73
    vor
    -0.71
    ilet
    -0.70
     Voy
    -0.68
     Hots
    -0.67
    POSITIVE LOGITS
     governing
    0.96
     regulated
    0.93
     promulg
    0.90
     regimes
    0.89
     regulating
    0.89
     regulates
    0.87
     imposed
    0.84
     regulators
    0.83
     regulate
    0.82
     oversight
    0.81
    Activations Density 0.045%

    No Known Activations