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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. 10543
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    Explanations

    information related to sports events, such as teams, locations, and dates

    oai_token-act-pair · gpt-3.5-turbo

    events related to sports games and schedules

    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
     Journals
    -0.79
    smanship
    -0.73
    recy
    -0.73
    rity
    -0.70
    bara
    -0.69
    ickr
    -0.69
     memos
    -0.67
    ndra
    -0.67
    erity
    -0.66
    metic
    -0.65
    POSITIVE LOGITS
     matchup
    1.20
     rematch
    1.14
     preseason
    1.02
     opponent
    1.01
     matchups
    0.98
     kickoff
    0.98
     tomorrow
    0.96
     scrimmage
    0.95
     playoff
    0.95
     opener
    0.94
    Activations Density 0.466%

    No Known Activations