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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. 16301
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    Explanations

    terms related to comparisons and contrasts

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical or scientific comparisons and measurements

    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
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    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.84
    scripts
    -0.77
    Closure
    -0.74
    argo
    -0.73
    yrinth
    -0.70
    ibrary
    -0.70
    etimes
    -0.68
    employment
    -0.67
    allo
    -0.67
    apon
    -0.66
    POSITIVE LOGITS
     wins
    0.97
     vs
    0.96
     versus
    0.95
     favored
    0.93
     dominates
    0.92
     prevail
    0.90
     favoured
    0.87
     victorious
    0.84
     predomin
    0.83
     favoring
    0.83
    Activations Density 1.198%

    No Known Activations