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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. 2-RES-JB
    11. 12297
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    Explanations

    references to legal or official terms, specifically mentioning names like "Alexandra" and references to "Article 5" and "Article 4"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and repeated mentions of articles from a legal or official context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ativity
    -0.83
    caps
    -0.83
    zee
    -0.81
    etary
    -0.78
    itably
    -0.77
    nesota
    -0.76
    eware
    -0.75
    onym
    -0.74
    ¯¯¯¯¯¯¯¯
    -0.73
    atives
    -0.73
    POSITIVE LOGITS
     Alexandra
    0.79
    urations
    0.74
     pleasure
    0.72
     galleries
    0.71
     Article
    0.68
     Quality
    0.66
     Kham
    0.65
     Ct
    0.64
     Judicial
    0.63
    IGHTS
    0.62
    Activations Density 0.020%

    No Known Activations