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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 1677
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal terms and regulations

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Kinnikuman
    -0.88
    lymp
    -0.79
    romeda
    -0.77
     Tycoon
    -0.76
    upon
    -0.76
    stadt
    -0.73
    Ĥ¬
    -0.73
    hoff
    -0.72
    eon
    -0.72
     Royale
    -0.72
    POSITIVE LOGITS
    ised
    0.85
    abulary
    0.80
     mandate
    0.79
    otine
    0.77
     enforcement
    0.76
     authority
    0.75
     deadline
    0.75
     authorization
    0.74
     statutory
    0.72
     authorized
    0.70
    Activations Density 0.005%

    No Known Activations