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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. 14510
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    Explanations

    detailed observations or insights in textual information

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the observation or discovery of something

    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
    awar
    -0.75
     )]
    -0.74
    ovie
    -0.73
    oustic
    -0.69
    ffen
    -0.66
    youtube
    -0.65
    ajor
    -0.65
    iership
    -0.65
    orean
    -0.64
    nai
    -0.63
    POSITIVE LOGITS
     plenty
    1.05
     numerous
    1.01
     myriad
    0.97
     that
    0.95
     countless
    0.93
     something
    0.91
     dozens
    0.91
     nothing
    0.90
     lots
    0.90
     innumerable
    0.89
    Activations Density 0.173%

    No Known Activations