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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. 10-RES-JB
    6. 8754
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    Explanations

    phrases related to addressing social issues and injustices

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Inventory
    -0.72
     Folder
    -0.65
     Remy
    -0.64
     Explosion
    -0.62
     Manufacturer
    -0.62
     pandemonium
    -0.61
     Farn
    -0.60
     Delivery
    -0.60
     Pair
    -0.59
     Peoples
    -0.58
    POSITIVE LOGITS
     genuinely
    1.02
     offended
    0.91
     legitimately
    0.91
     willing
    0.89
     otherwise
    0.89
     harmed
    0.89
     victimized
    0.86
     actively
    0.86
     interested
    0.85
     impacted
    0.85
    Activations Density 0.188%

    No Known Activations