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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. 21714
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    Explanations

    mentions of specific locations and events related to sports

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their connections within the context of sports events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Cath
    -0.99
    entanyl
    -0.93
     fentanyl
    -0.90
    Ãį
    -0.84
    scan
    -0.83
    orkshire
    -0.79
     poppy
    -0.79
    Ireland
    -0.78
    vag
    -0.78
     opium
    -0.77
    POSITIVE LOGITS
     Lakers
    1.83
     NBA
    1.82
     Knicks
    1.76
     LeBron
    1.74
    NBA
    1.71
     Cavs
    1.70
     Celtics
    1.69
     Sixers
    1.67
     Basketball
    1.66
     Kobe
    1.64
    Activations Density 0.557%

    No Known Activations