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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. 726
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    Explanations

    names of athletes and sports-related statistics

    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
     lull
    -0.75
     nic
    -0.74
     intellectual
    -0.71
     manufact
    -0.70
     shadows
    -0.70
     tenants
    -0.69
     creation
    -0.69
     creations
    -0.67
     dow
    -0.65
     publishing
    -0.65
    POSITIVE LOGITS
    albeit
    1.32
    six
    1.29
    seven
    1.27
    five
    1.26
    although
    1.24
    four
    1.24
    multiple
    1.23
    both
    1.23
    three
    1.22
    third
    1.21
    Activations Density 0.095%

    No Known Activations