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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. 3-RES-JB
    6. 549
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    INDEX
    Explanations

    social media platform names, with a particular focus on Pinterest

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media platforms, particularly Pinterest

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppo
    -0.79
     Luxem
    -0.72
    perse
    -0.71
    phas
    -0.69
     Antar
    -0.66
    arbon
    -0.65
    neys
    -0.65
    enegger
    -0.65
    ysis
    -0.64
    lves
    -0.64
    POSITIVE LOGITS
    Pinterest
    1.16
     Pinterest
    1.00
    LinkedIn
    0.87
    avascript
    0.86
    Reddit
    0.82
    Tumblr
    0.80
    vine
    0.77
    ished
    0.75
    umblr
    0.75
    oké
    0.75
    Activations Density 0.006%

    No Known Activations