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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. 297
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    Explanations

    phrases related to thorough cleaning and disinfection processes

    oai_token-act-pair · gpt-3.5-turbo

    references to cleaning and maintenance activities

    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
     Alic
    -0.89
     Stephenson
    -0.83
     Kahn
    -0.80
    pend
    -0.76
     Triangle
    -0.75
    imeo
    -0.74
     Polaris
    -0.73
     McF
    -0.72
    fram
    -0.72
     Hawking
    -0.72
    POSITIVE LOGITS
     disinfect
    1.92
     cleaning
    1.88
    clean
    1.76
    Clean
    1.76
     clean
    1.73
     cleans
    1.72
     cleansing
    1.71
     Clean
    1.69
     cleaners
    1.67
     scrub
    1.66
    Activations Density 0.361%

    No Known Activations