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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. 11-RES-JB
    11. 13496
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    Explanations

    phrases related to standards and regulations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of standards and guidelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    joy
    -0.78
    issance
    -0.77
     Sack
    -0.64
    pocket
    -0.61
     experien
    -0.61
    Pic
    -0.61
    ories
    -0.61
     monop
    -0.61
     Laugh
    -0.60
    TY
    -0.60
    POSITIVE LOGITS
     governing
    1.10
     imposed
    1.06
     promulg
    0.98
     standards
    0.92
     criteria
    0.92
    etting
    0.92
     Compliance
    0.91
     requirements
    0.90
     enforced
    0.89
    heet
    0.86
    Activations Density 0.163%

    No Known Activations