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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. 11-RES-JB
    11. 22247
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    Explanations

    quantitative data and statistics

    oai_token-act-pair · gpt-3.5-turbo

    data pertaining to statistical measures and rates in societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utics
    -0.73
     Roses
    -0.73
    sonian
    -0.73
    hend
    -0.71
    enegger
    -0.71
     lawy
    -0.65
    hett
    -0.64
     Ventures
    -0.64
    eworks
    -0.63
    enting
    -0.62
    POSITIVE LOGITS
     rate
    1.89
     ratio
    1.77
     percentage
    1.56
     tally
    1.50
    rate
    1.44
     rating
    1.42
     statistic
    1.38
     coefficient
    1.38
     average
    1.36
     estimate
    1.33
    Activations Density 0.268%

    No Known Activations