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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. 8-RES-JB
    6. 18832
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    Explanations

    references to beliefs or opinions

    oai_token-act-pair · gpt-3.5-turbo

    repeated use of the word "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibaba
    -0.78
    ãĤ´ãĥ³
    -0.75
    imi
    -0.73
    bg
    -0.73
    icia
    -0.71
    strate
    -0.70
    Alert
    -0.69
    plete
    -0.69
    ftime
    -0.69
    ategory
    -0.68
    POSITIVE LOGITS
     slightest
    1.20
     majority
    1.09
     entire
    1.05
     latter
    0.98
     vast
    0.97
     greatest
    0.97
     absence
    0.97
     whole
    0.94
     biggest
    0.92
     Russians
    0.92
    Activations Density 0.390%

    No Known Activations