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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. 11-RES-JB
    6. 22396
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    Explanations

    dates in the format "dd/mm/yyyy."

    oai_token-act-pair · gpt-3.5-turbo

    specific years and numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    helps
    -0.84
    conservancy
    -0.82
    tackle
    -0.80
    pressure
    -0.80
    omething
    -0.78
    argon
    -0.78
    Compan
    -0.77
    BUS
    -0.76
    Pope
    -0.74
    Planet
    -0.73
    POSITIVE LOGITS
     TBA
    1.05
     
    1.03
     TBD
    1.00
     00
    0.97
     01
    0.95
     0
    0.91
     ãĤ
    0.91
     4090
    0.91
     âĪ
    0.90
     201
    0.90
    Activations Density 0.127%

    No Known Activations