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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. 4-RES-JB
    11. 12170
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    Explanations

    phrases related to legal proceedings and official documentation

    oai_token-act-pair · gpt-3.5-turbo

    references to legal documents and proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤª
    -0.79
    ãĥĥãĤ¯
    -0.73
    ardless
    -0.72
    ãĥ¤
    -0.69
    atorial
    -0.69
    Ban
    -0.67
    ãĤ«
    -0.67
    ãĥĵ
    -0.64
    ãĤ®
    -0.63
    天
    -0.62
    POSITIVE LOGITS
     affidavit
    0.96
     affidav
    0.85
     sergeant
    0.82
     Sgt
    0.71
     allege
    0.70
     obtained
    0.69
     filings
    0.69
     alleges
    0.68
     Lt
    0.68
     dated
    0.67
    Activations Density 0.200%

    No Known Activations