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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 13184
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    Explanations

    pieces of information about sports games, specifically focusing on details like teams, dates, and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to sporting events and their details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lawy
    -0.82
     vou
    -0.68
    hari
    -0.67
    bara
    -0.67
     disappeared
    -0.66
     memos
    -0.66
     deleting
    -0.65
    ebin
    -0.65
     grop
    -0.65
    ruff
    -0.65
    POSITIVE LOGITS
     2019
    0.97
     scheduled
    0.95
     playoff
    0.94
    Tickets
    0.94
     tomorrow
    0.93
     TBD
    0.91
     matchup
    0.89
     schedule
    0.88
     2021
    0.88
     season
    0.88
    Activations Density 0.359%

    No Known Activations