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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. 11168
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    INDEX
    Explanations

    numerical patterns or relationships

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to measurements and statistics

    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
    vasive
    -0.74
     firsthand
    -0.69
     cybersecurity
    -0.69
     trailers
    -0.69
    Privacy
    -0.68
     distractions
    -0.68
    ritz
    -0.67
     intrusive
    -0.67
    advertisement
    -0.67
    enture
    -0.65
    POSITIVE LOGITS
     TOTAL
    1.13
     $$
    1.11
    Assuming
    1.10
     Assuming
    1.09
     multiply
    1.05
     approx
    1.04
     averaged
    1.04
     totals
    1.03
     multiplied
    1.03
    total
    1.03
    Activations Density 0.584%

    No Known Activations