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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. 9-RES-JB
    6. 12663
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    Explanations

    words related to technology and web links

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant moments or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":{"
    -0.62
     guiName
    -0.53
    Äĩ
    -0.52
     decay
    -0.49
     largeDownload
    -0.48
     delinquent
    -0.48
    tein
    -0.48
    ":["
    -0.47
    alties
    -0.47
    illac
    -0.46
    POSITIVE LOGITS
     Citiz
    0.70
    Access
    0.57
    advertising
    0.56
    microsoft
    0.53
    ÙĬ
    0.52
     cryst
    0.52
    IJ
    0.51
     Ezek
    0.50
    Oracle
    0.50
    Tier
    0.50
    Activations Density 0.993%

    No Known Activations