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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. 10-RES-JB
    11. 5134
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    Explanations

    talk about sports games and player performances

    oai_token-act-pair · gpt-3.5-turbo

    references to sports games and team performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    quartered
    -0.81
    fitted
    -0.76
     Mehran
    -0.75
     centuries
    -0.73
    Educ
    -0.72
     accredited
    -0.72
     millennia
    -0.71
     customized
    -0.71
    pees
    -0.70
    abul
    -0.69
    POSITIVE LOGITS
     bye
    1.16
    Elsewhere
    0.97
    Meanwhile
    0.91
     TBD
    0.86
     spoiler
    0.85
    again
    0.85
     gotta
    0.83
     TBA
    0.82
    Pred
    0.82
     Lastly
    0.81
    Activations Density 0.634%

    No Known Activations