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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. 15690
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    Explanations

    phrases related to societal and political issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to climate change and environmental issues

    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
     Tanz
    -0.79
     Ago
    -0.72
     Laurent
    -0.71
     Samson
    -0.69
     staggered
    -0.69
    selage
    -0.68
     seiz
    -0.66
     weeping
    -0.65
     saddle
    -0.64
     rotating
    -0.64
    POSITIVE LOGITS
    STEM
    0.93
    related
    0.92
    science
    0.89
    AIDS
    0.85
    violence
    0.84
    tools
    0.82
    usage
    0.82
    whatever
    0.81
    regulation
    0.81
    Americans
    0.81
    Activations Density 0.300%

    No Known Activations