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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. 9322
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    Explanations

    names of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams and organizations

    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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    No Comments

    Negative Logits
    perse
    -0.76
    ppo
    -0.74
    pse
    -0.68
     disagreement
    -0.66
    NetMessage
    -0.65
     Niet
    -0.65
    Redditor
    -0.64
    disc
    -0.64
    ront
    -0.63
     divergence
    -0.63
    POSITIVE LOGITS
     academy
    0.86
     helm
    0.82
     Athletics
    0.81
     championships
    0.74
     Training
    0.73
     athletics
    0.72
     alumni
    0.72
     acad
    0.71
     Rookie
    0.71
     Academy
    0.70
    Activations Density 0.349%

    No Known Activations