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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. 8-RES-JB
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    Explanations

    references and mentions of football clubs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of football clubs, especially Manchester City and Manchester United

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zup
    -0.88
     Ples
    -0.86
    Els
    -0.83
    enegger
    -0.82
    Ô
    -0.82
    ãĥ´
    -0.81
    ngth
    -0.76
    ãĥł
    -0.75
    oard
    -0.73
     Okin
    -0.71
    POSITIVE LOGITS
     FC
    1.10
     Football
    1.02
    wich
    1.01
     midfielder
    1.01
     Hots
    0.97
     footballer
    0.96
     goalkeeper
    0.95
     Athletics
    0.94
     striker
    0.92
     enqu
    0.92
    Activations Density 0.124%

    No Known Activations