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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. 16534
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to health, environment, and safety issues affecting children and communities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     understatement
    -0.72
     trolling
    -0.65
    owler
    -0.63
     assisted
    -0.62
     Missing
    -0.60
     spoof
    -0.60
    igmat
    -0.59
    oqu
    -0.59
     sighting
    -0.58
     introductory
    -0.58
    POSITIVE LOGITS
    ways
    0.96
     psyche
    0.95
     grids
    0.95
     arteries
    0.92
    ourses
    0.92
     faculties
    0.91
    cosystem
    0.90
     habits
    0.89
     ecosystem
    0.88
     ecosystems
    0.85
    Activations Density 0.433%

    No Known Activations