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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. 7544
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    Explanations

    mentions of dates and release times in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    content related to dates, times, and events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ndra
    -0.95
    zsche
    -0.80
    rious
    -0.77
     largeDownload
    -0.74
    otos
    -0.67
    natureconservancy
    -0.65
    obyl
    -0.65
    acci
    -0.64
    Leary
    -0.63
    conservancy
    -0.63
    POSITIVE LOGITS
     theaters
    1.22
     Kindle
    1.12
     paperback
    1.10
     ebook
    1.08
    DVD
    1.05
     theat
    0.99
     DVD
    0.98
     streaming
    0.96
     iTunes
    0.96
     cinem
    0.94
    Activations Density 0.596%

    No Known Activations