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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. 1-RES-JB
    11. 22953
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    Explanations

    references to achievements or successes, particularly in the context of sports like tennis

    oai_token-act-pair · gpt-3.5-turbo

    references to major tennis tournaments, specifically the Grand Slam events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UID
    -0.84
     Sector
    -0.66
    actionDate
    -0.61
     Occupations
    -0.60
    âĸĪâĸĪâĸĪâĸĪ
    -0.60
    lements
    -0.59
    Wan
    -0.58
    nown
    -0.57
     //[
    -0.57
     reconc
    -0.56
    POSITIVE LOGITS
     slam
    1.22
     dunk
    1.12
     Slam
    1.09
    bledon
    0.99
    mers
    0.96
    mer
    0.94
    ming
    0.91
    bolt
    0.87
     slams
    0.86
     Dunk
    0.82
    Activations Density 0.005%

    No Known Activations