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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. 9151
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    Explanations

    references to individuals with medical or academic titles

    oai_token-act-pair · gpt-3.5-turbo

    references to medical professionals and researchers

    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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    Negative Logits
     bearer
    -0.69
     scrimmage
    -0.68
     arbitration
    -0.66
    OPA
    -0.64
     workout
    -0.64
     routed
    -0.62
     rebound
    -0.62
    LOAD
    -0.61
    FREE
    -0.60
     snowball
    -0.60
    POSITIVE LOGITS
     Gareth
    1.10
     Nigel
    1.09
     Canaver
    1.08
     Ian
    1.08
    essors
    1.08
     Fiona
    1.06
     Andreas
    1.06
     Peter
    1.06
     Stefan
    1.05
     Nicholas
    1.05
    Activations Density 0.048%

    No Known Activations