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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. 2118
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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating knowledge or awareness regarding various subjects

    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
    hement
    -0.81
    igham
    -0.70
    imaru
    -0.70
    ģĸ
    -0.69
    ioxide
    -0.68
    owered
    -0.67
     ratification
    -0.67
    vertisement
    -0.66
    yrim
    -0.64
     coron
    -0.62
    POSITIVE LOGITS
     whereabouts
    0.86
     intimately
    0.83
     firsthand
    0.74
     drill
    0.74
    CHAT
    0.69
    ledge
    0.67
     instinctively
    0.66
     secret
    0.65
     beforehand
    0.65
    âĨij
    0.65
    Activations Density 0.222%

    No Known Activations