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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. 3705
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    Explanations

    programming-related keywords and functions

    oai_token-act-pair · gpt-3.5-turbo

    code-related terminology and constructs

    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
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    No Comments

    Negative Logits
     millenn
    -0.82
     condem
    -0.67
    illac
    -0.66
     Summers
    -0.61
     deregulation
    -0.59
     destro
    -0.58
    psey
    -0.58
    elaide
    -0.57
     disadvant
    -0.56
    Coach
    -0.56
    POSITIVE LOGITS
     sqor
    0.83
     suffix
    0.76
    ibling
    0.69
    onym
    0.67
    ymes
    0.67
     Observer
    0.66
     denotes
    0.65
    lihood
    0.65
    yes
    0.64
    cent
    0.64
    Activations Density 0.669%

    No Known Activations