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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. 9-RES-JB
    11. 4219
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    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
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    Negative Logits
    bats
    -0.61
    ionage
    -0.60
     Beir
    -0.59
     fortun
    -0.57
     Faw
    -0.56
     accur
    -0.56
     Alv
    -0.56
    liest
    -0.56
     fuzz
    -0.56
    theless
    -0.55
    POSITIVE LOGITS
    ËĪ
    0.97
    Courtesy
    0.73
    wcsstore
    0.70
    Photos
    0.70
    img
    0.68
    entity
    0.67
    Film
    0.67
     Images
    0.66
     Shutterstock
    0.66
    gallery
    0.66
    Activations Density 0.013%

    No Known Activations