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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. 0-RES-JB
    6. 16478
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    Explanations

    phrases or names with the name "Bert."

    oai_token-act-pair · gpt-3.5-turbo
    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
    orah
    -0.80
     Pulse
    -0.80
     Cassidy
    -0.78
     palette
    -0.75
     Pillar
    -0.74
     Shade
    -0.74
     Wa
    -0.72
     Crowley
    -0.71
    Pal
    -0.71
     Hawaii
    -0.70
    POSITIVE LOGITS
    İ
    2.19
     Bert
    1.96
     Soy
    1.32
     soy
    1.27
     pert
    1.13
     exert
    1.10
    ert
    0.98
     Guang
    0.87
     Blanc
    0.86
     Meng
    0.83
    Activations Density 0.034%

    No Known Activations