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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. 5-RES-JB
    6. 7736
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    Explanations

    words related to established customs, rules, and traditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social customs and protocols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aceutical
    -0.69
     Mek
    -0.67
    ative
    -0.67
    enium
    -0.67
     Shining
    -0.66
    iesel
    -0.66
    idas
    -0.64
     Reloaded
    -0.64
    ied
    -0.64
    rill
    -0.63
    POSITIVE LOGITS
     actionGroup
    0.88
     etiquette
    0.88
    iquette
    0.85
     cumbers
    0.85
     disclaim
    0.78
     accustomed
    0.77
    ©¶æ¥µ
    0.75
     precaution
    0.74
     accord
    0.74
     customary
    0.74
    Activations Density 0.082%

    No Known Activations