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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. 9666
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    Explanations

    long number sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and measurements

    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
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    No Comments

    Negative Logits
    istry
    -0.64
     scenery
    -0.64
     Lama
    -0.60
    sed
    -0.60
    ressor
    -0.59
     Kurds
    -0.59
     Vide
    -0.59
     Berks
    -0.58
    ween
    -0.57
     Spiel
    -0.57
    POSITIVE LOGITS
    120
    0.90
    287
    0.89
    285
    0.88
    145
    0.87
    192
    0.87
    195
    0.87
    390
    0.86
    608
    0.86
    196
    0.85
    168
    0.85
    Activations Density 0.124%

    No Known Activations