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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. 15841
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    Explanations

    names of individuals, possibly in a list or sequence

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, especially names and titles

    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
    bryce
    -0.68
     Pwr
    -0.62
    osterone
    -0.61
     Roundup
    -0.60
     Skydragon
    -0.59
     captivity
    -0.57
     disson
    -0.55
     yourselves
    -0.54
     prost
    -0.54
     plaque
    -0.53
    POSITIVE LOGITS
    ilver
    0.83
    vu
    0.80
    hua
    0.72
    inen
    0.72
    edu
    0.67
    direction
    0.67
    zee
    0.65
    ilan
    0.64
    vre
    0.64
    fecture
    0.64
    Activations Density 0.145%

    No Known Activations