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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. 1625
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    oai_token-act-pair · gpt-3.5-turbo

    references to technological and scientific advancements

    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
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    Negative Logits
    cemic
    -0.70
    CLA
    -0.69
    bia
    -0.68
    alty
    -0.67
    suff
    -0.67
    ãĥ£
    -0.67
    ric
    -0.66
    ²¾
    -0.66
    opoly
    -0.66
    onen
    -0.66
    POSITIVE LOGITS
     advances
    0.98
     advancements
    0.94
     breakthrough
    0.85
    ments
    0.82
     discoveries
    0.81
     technologies
    0.80
     innovations
    0.79
     Cyborg
    0.76
     Invention
    0.73
     advancement
    0.72
    Activations Density 0.068%

    No Known Activations