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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. 20125
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    Explanations

    phrases related to sports events

    oai_token-act-pair · gpt-3.5-turbo

    aspects related to sports events and scoring plays

    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
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    Negative Logits
    onym
    -0.98
     lifestyle
    -0.83
     certs
    -0.81
     unemploy
    -0.79
    ersive
    -0.79
     curric
    -0.77
    netflix
    -0.76
     blacklist
    -0.74
    erness
    -0.74
     FOIA
    -0.73
    POSITIVE LOGITS
     Moments
    0.98
     Subst
    0.93
     Seconds
    0.90
     halftime
    0.89
    Match
    0.87
    Both
    0.85
     Minutes
    0.81
    Score
    0.81
    Tra
    0.80
     Shots
    0.79
    Activations Density 0.207%

    No Known Activations