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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. 6094
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    titles and names of academic papers and publications

    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
     assist
    -0.73
     licens
    -0.69
    esters
    -0.67
    btn
    -0.67
     progressed
    -0.66
    ester
    -0.66
     performer
    -0.64
     aid
    -0.63
     station
    -0.62
     syrup
    -0.62
    POSITIVE LOGITS
    Understanding
    1.15
     Understanding
    1.12
     Lessons
    1.12
     Making
    1.10
     Reasons
    1.09
     Principles
    1.08
     Causes
    1.04
     Towards
    1.01
     Handbook
    1.01
    Introduction
    1.00
    Activations Density 0.198%

    No Known Activations