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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. 7-RES-JB
    11. 9945
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    Explanations

    key terms related to rules, regulations, and restrictions, particularly in the context of financial and legal frameworks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to regulations and requirements

    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
    CONCLUS
    -0.72
     Passion
    -0.66
    Jere
    -0.64
     Incarn
    -0.64
    Untitled
    -0.63
     vir
    -0.61
    Eva
    -0.60
    Ô
    -0.60
     prophetic
    -0.59
     fab
    -0.59
    POSITIVE LOGITS
     imposed
    0.88
     enforced
    0.88
     enforcement
    0.87
     exemptions
    0.81
     levied
    0.80
     mandate
    0.79
     derog
    0.77
     hike
    0.77
     prohibiting
    0.77
     compliance
    0.76
    Activations Density 0.383%

    No Known Activations