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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. 4-RES-JB
    11. 9643
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    Explanations

    sports teams and their related activities or matchups

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports events, teams, and related statistics

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

    No Comments

    Negative Logits
    redit
    -0.85
    awi
    -0.80
    abytes
    -0.79
     modelling
    -0.79
    cffffcc
    -0.77
    lear
    -0.73
    atography
    -0.73
    forums
    -0.72
    iat
    -0.72
    ricia
    -0.71
    POSITIVE LOGITS
     playoff
    1.13
     undefeated
    1.10
     unbeaten
    1.09
     postseason
    0.98
     playoffs
    0.94
     semifinals
    0.90
     Toledo
    0.89
     rematch
    0.88
     Playoffs
    0.87
     streak
    0.86
    Activations Density 0.359%

    No Known Activations