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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. 5-RES-JB
    6. 20038
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    Explanations

    references to a specific location, likely "Minneapolis."

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Min" and its variations, indicating a focus on a specific entity or theme associated with that term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.85
     Compass
    -0.64
     red
    -0.64
    atered
    -0.60
     Cascade
    -0.60
     Crusade
    -0.60
     centre
    -0.60
     almonds
    -0.60
     revolving
    -0.60
     links
    -0.59
    POSITIVE LOGITS
    iatures
    1.18
    imal
    1.14
    neapolis
    1.07
    erva
    1.02
    nesota
    1.01
    oan
    1.01
    imize
    1.00
    utes
    0.99
    amoto
    0.98
    ority
    0.97
    Activations Density 0.013%

    No Known Activations