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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. 3-RES-JB
    6. 1600
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    INDEX
    Explanations

    mathematical symbols and codes, potentially related to a specific technical or scientific context

    oai_token-act-pair · gpt-3.5-turbo

    symbols or characters with high activation values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uld
    -0.91
    wcs
    -0.91
    stro
    -0.87
    enos
    -0.84
    ulates
    -0.80
    iqueness
    -0.79
    gow
    -0.78
    ulate
    -0.78
    igree
    -0.78
    eni
    -0.77
    POSITIVE LOGITS
    âĪ
    0.95
    âĶĢâĶĢ
    0.89
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.86
    ×Ļ×
    0.85
     âĪ
    0.84
    ãĥĺ
    0.83
    ©
    0.80
    ROR
    0.80
    ãĥķãĤ©
    0.79
    §
    0.77
    Activations Density 0.009%

    No Known Activations