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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. 7-RES-JB
    11. 2250
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    Explanations

    references to facial features

    oai_token-act-pair · gpt-3.5-turbo

    references to facial features and characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aday
    -0.82
    cham
    -0.75
    uden
    -0.74
     Recomm
    -0.73
    MQ
    -0.73
     Provided
    -0.73
    æ©Ł
    -0.70
    world
    -0.70
     Pharma
    -0.69
    ensable
    -0.68
    POSITIVE LOGITS
     hair
    1.07
     expressions
    1.04
     muscles
    0.96
     recognition
    0.96
     expression
    0.95
     portraits
    0.92
     makeup
    0.87
     prost
    0.86
     impressions
    0.86
     tissues
    0.86
    Activations Density 0.023%

    No Known Activations