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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. 15743
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    Explanations

    technical specifications such as sizes, measurements, and capacities

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and measurements

    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
    know
    -0.78
    eering
    -0.67
    Fear
    -0.67
    developed
    -0.66
    ivist
    -0.65
    laws
    -0.64
    etta
    -0.62
    asia
    -0.62
    conscious
    -0.61
    Bir
    -0.60
    POSITIVE LOGITS
     increments
    1.28
     apiece
    1.15
    /$
    1.10
    +)
    1.04
    +.
    1.03
     avg
    1.02
    +,
    1.01
    +
    0.98
     maximum
    0.87
     Avg
    0.87
    Activations Density 0.105%

    No Known Activations