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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. 7-RES-JB
    11. 21404
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    Explanations

    sport-related information, particularly about hockey players' performances and achievements

    oai_token-act-pair · gpt-3.5-turbo

    statistical data and performance metrics related to sports

    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
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    Negative Logits
     Canaver
    -0.76
     Shant
    -0.65
    pour
    -0.64
     Pill
    -0.63
    thur
    -0.63
     Tant
    -0.62
    heads
    -0.62
     Patreon
    -0.61
    erity
    -0.60
     Patriarch
    -0.60
    POSITIVE LOGITS
     Rookie
    0.97
     stint
    0.87
     undrafted
    0.86
     Bundesliga
    0.85
     fullback
    0.82
     MLB
    0.82
     AHL
    0.81
     outfield
    0.80
     Sporting
    0.80
     batting
    0.79
    Activations Density 0.472%

    No Known Activations