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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. 15164
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    INDEX
    Explanations

    statistics and numerical information

    oai_token-act-pair · gpt-3.5-turbo

    statistical analysis and comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     improvised
    -0.72
     evac
    -0.69
     cann
    -0.69
     Authorization
    -0.68
    lication
    -0.68
    mos
    -0.65
     Prepar
    -0.62
     Compan
    -0.61
    DIR
    -0.61
    kie
    -0.61
    POSITIVE LOGITS
     statistical
    1.24
     statistically
    1.22
     trends
    1.16
     disparity
    1.16
     graphs
    1.15
     disparities
    1.15
     skewed
    1.13
    Chart
    1.11
     averages
    1.10
     anecd
    1.09
    Activations Density 0.676%

    No Known Activations