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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. 15260
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    Explanations

    references to permits in text

    oai_token-act-pair · gpt-3.5-turbo

    references to permits and their associated processes

    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
    cup
    -0.83
    angular
    -0.81
    enegger
    -0.76
    oslav
    -0.75
    bite
    -0.72
    axy
    -0.71
    tone
    -0.70
    tops
    -0.70
    Cube
    -0.69
    sonian
    -0.68
    POSITIVE LOGITS
     holders
    1.06
     holder
    1.02
     permits
    0.93
     permitting
    0.90
     permit
    0.89
     slips
    0.89
     waivers
    0.88
     exemptions
    0.87
     approvals
    0.85
     licenses
    0.83
    Activations Density 0.030%

    No Known Activations