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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. 12-RES-JB
    11. 5065
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    Explanations

    names of specific sports players

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    specific names of athletes and their associated teams in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     confir
    -1.01
     challeng
    -0.85
    è¦ļéĨĴ
    -0.81
     laun
    -0.73
     deduction
    -0.73
     toget
    -0.72
    Magikarp
    -0.70
     refreshed
    -0.70
     corrid
    -0.70
     optimizations
    -0.70
    POSITIVE LOGITS
     Williams
    0.99
     Lump
    0.96
     Dixon
    0.95
     Rag
    0.93
     Hyder
    0.91
     Watkins
    0.91
     Fuller
    0.91
     Briggs
    0.90
     Allen
    0.89
     Branch
    0.89
    Activations Density 0.047%

    No Known Activations