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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
    11. 8263
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    Explanations

    text related to sports, specifically mentioning the phrase "Gamecocks"

    oai_token-act-pair · gpt-3.5-turbo

    references to game performance and outcomes

    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
    ierre
    -0.86
    ractive
    -0.72
    eanor
    -0.67
    eret
    -0.67
     reapp
    -0.67
    vous
    -0.66
    reprene
    -0.64
     coh
    -0.63
     Wiley
    -0.63
    hirt
    -0.62
    POSITIVE LOGITS
     Thrones
    0.91
     replay
    0.88
     multiplayer
    0.88
    Pause
    0.87
     Arena
    0.85
     consoles
    0.83
     Madden
    0.82
    PLAY
    0.80
     PLAY
    0.78
     Played
    0.78
    Activations Density 0.561%

    No Known Activations