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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. 10-RES-JB
    6. 9863
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    Explanations

    phrases describing events or states that occurred or existed in the past

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating historical references or events that occurred before a specific time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤĬ
    -0.74
    gallery
    -0.73
    Pool
    -0.69
    egu
    -0.69
    ihar
    -0.69
    erves
    -0.69
    <?
    -0.69
    cipl
    -0.69
    urden
    -0.67
    arse
    -0.67
    POSITIVE LOGITS
     advent
    1.13
     Gutenberg
    1.00
     WWII
    0.96
     globalization
    0.95
     1900
    0.94
     puberty
    0.94
     modern
    0.93
     Prohibition
    0.91
     invention
    0.87
     Enlightenment
    0.87
    Activations Density 0.208%

    No Known Activations