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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    references to smiling are the main focus of this neuron

    oai_token-act-pair · gpt-3.5-turbo

    expressions of happiness or smiling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    instance
    -0.74
    main
    -0.73
    waters
    -0.72
    RB
    -0.70
     constit
    -0.69
    testing
    -0.66
    Board
    -0.66
    bor
    -0.65
    fund
    -0.65
    aiden
    -0.65
    POSITIVE LOGITS
     smile
    3.62
     grin
    3.05
     smiles
    2.74
     smiling
    2.36
     Smile
    2.15
     smiled
    1.95
     frown
    1.86
     grinning
    1.75
     chuckle
    1.62
     grinned
    1.60
    Activations Density 0.020%

    No Known Activations