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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. 22928
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    Explanations

    information related to Central Processing Units (CPUs)

    oai_token-act-pair · gpt-3.5-turbo

    references to computer processors and their performance characteristics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    red
    -0.75
     Canal
    -0.73
    reek
    -0.63
    chat
    -0.62
     Burgess
    -0.61
    chell
    -0.61
    erville
    -0.60
    76561
    -0.59
    ership
    -0.59
     takedown
    -0.58
    POSITIVE LOGITS
     cores
    1.23
     horsepower
    1.17
     CPUs
    1.05
     architectures
    1.00
     processors
    0.99
    CPU
    0.98
     cpu
    0.97
    GPU
    0.97
     utilization
    0.96
     powering
    0.93
    Activations Density 0.072%

    No Known Activations