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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. 11-RES-JB
    11. 23301
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    Explanations

    phrases related to personal beliefs or opinions

    oai_token-act-pair · gpt-3.5-turbo

    statements that emphasize consequences or protocols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     carbohyd
    -0.90
    ¥ŀ
    -0.90
    ĸļ士
    -0.89
    eatures
    -0.87
     quir
    -0.87
     satell
    -0.87
     earthqu
    -0.86
    Þ
    -0.85
     gobl
    -0.85
     exting
    -0.83
    POSITIVE LOGITS
     ..."
    1.58
     âĢ¦"
    1.54
     ."
    1.36
    .")
    1.35
     They
    1.26
    '"
    1.25
    ..."
    1.23
     ...
    1.22
     ,"
    1.22
     Everybody
    1.22
    Activations Density 0.190%

    No Known Activations