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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. 6-RES-JB
    6. 1808
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    Explanations

    words with unusual characters, potentially indicating a language-specific or encoded text

    oai_token-act-pair · gpt-3.5-turbo

    specific characters or symbols in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    baugh
    -0.79
     mathemat
    -0.72
    espie
    -0.72
    iary
    -0.68
    notes
    -0.66
    essert
    -0.66
     GOODMAN
    -0.63
     Sparkle
    -0.63
     succession
    -0.62
     Zucker
    -0.60
    POSITIVE LOGITS
    ÏĦ
    1.07
    é¾įåĸļ士
    1.04
    ½
    0.87
    ĥ
    0.85
    Ùħ
    0.83
    ï¸ı
    0.83
    hea
    0.81
    ãĥĺ
    0.81
    Ī
    0.80
    ر
    0.80
    Activations Density 0.010%

    No Known Activations