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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. 4-RES-JB
    11. 1028
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    Explanations

    mentions of statistical data sources like national statistics offices

    oai_token-act-pair · gpt-3.5-turbo

    references to national and regional statistics offices and their reports

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

    No Comments

    Negative Logits
    gie
    -0.81
    oÄŁ
    -0.80
    ĪĴ
    -0.74
    ysis
    -0.74
    gro
    -0.74
    ifest
    -0.73
    nuts
    -0.71
    guards
    -0.71
    gettable
    -0.70
    ributes
    -0.70
    POSITIVE LOGITS
     Statistics
    1.04
     Occupations
    0.86
     Agency
    0.86
     Bureau
    0.84
     Department
    0.84
     Dept
    0.81
     Division
    0.80
     Analytics
    0.80
     Corporation
    0.79
     Query
    0.79
    Activations Density 0.027%

    No Known Activations