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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. 11251
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    Explanations

    mentions or references to the Super Bowl event

    oai_token-act-pair · gpt-3.5-turbo

    references to the Super Bowl

    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
    ifles
    -0.81
    auga
    -0.74
    ename
    -0.73
    Downloadha
    -0.73
     NCT
    -0.71
    aft
    -0.71
    amorph
    -0.70
    STD
    -0.70
    ioned
    -0.69
    staking
    -0.69
    POSITIVE LOGITS
     halftime
    0.99
     XL
    0.94
     Bowl
    0.92
     Countdown
    0.91
     LI
    0.89
     XXX
    0.85
     Finals
    0.85
     Winners
    0.83
    VII
    0.81
     Champion
    0.81
    Activations Density 0.027%

    No Known Activations