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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. 3-RES-JB
    11. 4536
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    Explanations

    references to legal or legislative amendments

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative amendments in a document

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    vana
    -0.84
    icle
    -0.78
    ardy
    -0.73
    ried
    -0.72
    sonian
    -0.69
    soever
    -0.69
    ritis
    -0.68
    icles
    -0.65
    imil
    -0.65
     Fortune
    -0.64
    POSITIVE LOGITS
    xual
    1.06
     amendments
    0.94
     amendment
    0.83
    witz
    0.81
     Amendments
    0.79
     summ
    0.77
    ality
    0.75
     thereto
    0.72
     process
    0.71
    arians
    0.68
    Activations Density 0.011%

    No Known Activations