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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. 1-RES-JB
    11. 19632
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    Explanations

    mentions of monks

    oai_token-act-pair · gpt-3.5-turbo

    references to monks and monasteries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.83
    sg
    -0.76
    Û
    -0.75
    alez
    -0.74
    ãĥ¤
    -0.74
     Stim
    -0.73
    QL
    -0.73
    mberg
    -0.70
    RT
    -0.70
    Lex
    -0.70
    POSITIVE LOGITS
     monks
    1.16
     monk
    1.10
     monastery
    1.03
     nuns
    0.91
     nun
    0.88
     Monk
    0.87
    mares
    0.86
    ajo
    0.85
    astery
    0.81
    itton
    0.80
    Activations Density 0.008%

    No Known Activations