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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. 10625
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    Explanations

    references to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "team."

    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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    No Comments

    Negative Logits
    tml
    -0.88
    pire
    -0.77
    alam
    -0.76
     drip
    -0.74
    tain
    -0.74
    ranging
    -0.73
    dit
    -0.72
    sight
    -0.72
    creen
    -0.69
    Va
    -0.64
    POSITIVE LOGITS
     mates
    0.93
     mascot
    0.90
    mates
    0.86
     motto
    0.85
    liquid
    0.84
     captain
    0.84
    members
    0.82
     captains
    0.78
     coached
    0.77
    rons
    0.75
    Activations Density 0.064%

    No Known Activations