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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. 9206
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of lists and the act of listing

    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
    displayText
    -0.77
    ufact
    -0.74
    duino
    -0.69
    vant
    -0.69
    prot
    -0.68
    Connector
    -0.68
    maxwell
    -0.67
    dayName
    -0.67
    Charges
    -0.66
    olescent
    -0.65
    POSITIVE LOGITS
     list
    2.45
     lists
    2.22
     List
    2.07
     Lists
    2.01
    List
    1.93
    list
    1.89
     LIST
    1.83
     listing
    1.74
    lists
    1.73
     blacklist
    1.50
    Activations Density 0.395%

    No Known Activations