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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. 10679
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    Explanations

    prestigious awards mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to prestigious awards and prizes

    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
    agen
    -0.64
    folk
    -0.61
    cos
    -0.61
     aber
    -0.60
    town
    -0.60
     tempo
    -0.59
     restrooms
    -0.59
     lear
    -0.59
     frust
    -0.58
     learners
    -0.58
    POSITIVE LOGITS
    ®
    0.97
    ®,
    0.97
     Award
    0.96
     Prize
    0.95
     winner
    0.94
     nomination
    0.93
     nominations
    0.92
     laureate
    0.91
     Winner
    0.90
     Winners
    0.89
    Activations Density 0.080%

    No Known Activations