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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. 16412
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    Explanations

    mentions of social media posts or written communication

    oai_token-act-pair · gpt-3.5-turbo

    references to communication and social media interactions

    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
     Occupations
    -0.76
    tics
    -0.75
     Empires
    -0.70
     sexes
    -0.66
     Cups
    -0.66
     Steps
    -0.63
     Buildings
    -0.63
    ernels
    -0.63
     Ones
    -0.63
     wards
    -0.63
    POSITIVE LOGITS
     titled
    0.94
     called
    0.90
     involving
    0.87
     resembling
    0.84
     consisting
    0.81
     wherein
    0.81
     aimed
    0.76
     whereby
    0.76
    assian
    0.76
     entitled
    0.74
    Activations Density 0.547%

    No Known Activations