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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. 3-RES-JB
    6. 18875
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    Explanations

    numerical patterns within text

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of numerical figures or statistics in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     travers
    -0.70
     swinging
    -0.68
    hung
    -0.68
     heroine
    -0.66
     guarding
    -0.66
     brav
    -0.65
     rebuilding
    -0.64
     hust
    -0.63
     swallowing
    -0.63
     railways
    -0.62
    POSITIVE LOGITS
     SHARES
    0.97
    ctr
    0.94
    maxwell
    0.89
    :{
    0.82
     Expand
    0.81
    å¹
    0.81
     Explicit
    0.80
     ILCS
    0.79
    Reviewer
    0.78
    MN
    0.76
    Activations Density 0.128%

    No Known Activations