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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. 2-RES-JB
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    Explanations

    references to the NBA basketball league

    oai_token-act-pair · gpt-3.5-turbo

    references to the NBA

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enance
    -0.78
    ablishment
    -0.72
    ktop
    -0.70
    imura
    -0.69
    akeru
    -0.68
    terday
    -0.66
    EStream
    -0.65
    akuya
    -0.64
    SPONSORED
    -0.62
     Hume
    -0.61
    POSITIVE LOGITS
    NBA
    1.17
    asketball
    1.01
     basketball
    0.96
     Finals
    0.94
     NBA
    0.92
    basketball
    0.86
     Basketball
    0.86
     esports
    0.83
    ONSORED
    0.82
     Playoffs
    0.79
    Activations Density 0.008%

    No Known Activations