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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. 14769
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    INDEX
    Explanations

    numerical values such as years, amounts, and codes

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    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
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    No Comments

    Negative Logits
     millenn
    -0.70
    anooga
    -0.68
     oral
    -0.68
    artisan
    -0.68
    inelli
    -0.67
    agall
    -0.67
     broadly
    -0.67
     mull
    -0.67
     orally
    -0.66
     gloom
    -0.65
    POSITIVE LOGITS
    00000000
    1.27
    368
    1.20
    9999
    1.19
    364
    1.18
    678
    1.18
    456
    1.18
    296
    1.18
    295
    1.17
    698
    1.17
    69
    1.17
    Activations Density 0.055%

    No Known Activations