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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. 6-RES-JB
    6. 18000
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    INDEX
    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assetsadobe
    -0.68
    ::::::::
    -0.58
     FedEx
    -0.57
     physician
    -0.55
    credit
    -0.54
     msec
    -0.53
    hement
    -0.52
     Medicare
    -0.52
     partName
    -0.52
     "$:/
    -0.51
    POSITIVE LOGITS
    usha
    0.72
    zon
    0.71
    ween
    0.71
    anus
    0.68
    ipers
    0.65
    hovah
    0.63
    iple
    0.63
    Champ
    0.63
    itars
    0.62
    igon
    0.62
    Activations Density 0.411%

    No Known Activations