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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. 11-RES-JB
    6. 10406
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    Explanations

    phrases related to logging and entries

    oai_token-act-pair · gpt-3.5-turbo

    terms related to logging and transaction generation

    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
    Harris
    -0.94
    aii
    -0.90
    Miami
    -0.89
     Amar
    -0.87
    Prince
    -0.86
     âĸº
    -0.85
    rican
    -0.84
     Haley
    -0.84
     Chev
    -0.83
    orio
    -0.81
    POSITIVE LOGITS
     Log
    2.35
     log
    2.16
    Log
    2.08
     LOG
    2.02
    log
    2.02
     logs
    1.85
     logging
    1.83
     logger
    1.78
    LOG
    1.77
     logged
    1.56
    Activations Density 0.240%

    No Known Activations