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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. 6323
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    Explanations

    different categories or types of items within various contexts, such as risk, words, or services

    oai_token-act-pair · gpt-3.5-turbo

    phrases that categorize or describe items into groups

    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
    bats
    -0.78
     Mechdragon
    -0.69
    uddin
    -0.66
    ãĤ¼ãĤ¦ãĤ¹
    -0.63
    liga
    -0.62
     Annotations
    -0.61
     Boxing
    -0.61
     Alz
    -0.59
    apeake
    -0.59
     Archangel
    -0.59
    POSITIVE LOGITS
     distinct
    0.78
    %:
    0.77
     simultaneously
    0.76
     viz
    0.75
     sexes
    0.73
    rencies
    0.72
    :-
    0.71
     sets
    0.71
     thirds
    0.71
    :(
    0.70
    Activations Density 0.237%

    No Known Activations