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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. 9-RES-JB
    6. 6818
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    Explanations

    phrases or words related to common occurrences or practices

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    0000000000000000
    -0.89
    ById
    -0.76
    username
    -0.71
    FontSize
    -0.70
    iola
    -0.70
    aca
    -0.70
    inson
    -0.69
    stroke
    -0.69
    govtrack
    -0.68
    piece
    -0.68
    POSITIVE LOGITS
     academia
    1.22
     Europe
    1.04
     classrooms
    0.96
     lieu
    0.95
     conjunction
    0.95
     contexts
    0.95
     contemporary
    0.93
     relation
    0.93
     societies
    0.92
     regards
    0.92
    Activations Density 0.251%

    No Known Activations