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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. 10-RES-JB
    11. 11481
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    Explanations

    terms related to technology, trends, and industry shifts

    oai_token-act-pair · gpt-3.5-turbo

    references to technological changes and trends in various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Checks
    -0.70
     Corker
    -0.69
     excerpts
    -0.68
     Hess
    -0.67
     quotes
    -0.67
     checks
    -0.67
    ouf
    -0.67
     oath
    -0.66
     Psal
    -0.65
     Riy
    -0.64
    POSITIVE LOGITS
     revolution
    1.20
     democrat
    1.19
     evolving
    1.18
     trend
    1.17
     evolve
    1.17
     prolifer
    1.16
     advancements
    1.10
    increasing
    1.08
     innovation
    1.07
     evolution
    1.06
    Activations Density 0.822%

    No Known Activations