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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. 11922
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    Explanations

    references to football plays and players against specific teams

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive matchups or contests

    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
    pmwiki
    -0.76
    ortion
    -0.74
    aund
    -0.73
    milo
    -0.73
    oola
    -0.72
    tube
    -0.70
    ulously
    -0.70
    cffff
    -0.70
    yright
    -0.70
    aird
    -0.69
    POSITIVE LOGITS
     opponents
    0.87
     opponent
    0.80
     Samoa
    0.80
     foes
    0.79
     adversity
    0.78
     Notre
    0.78
     Suzuki
    0.77
     Enemy
    0.74
     Carolina
    0.72
     Nicaragua
    0.71
    Activations Density 0.050%

    No Known Activations