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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. 6-RES-JB
    11. 7995
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hol
    -0.69
    baugh
    -0.65
     traverse
    -0.63
    cled
    -0.63
    EStreamFrame
    -0.62
     regress
    -0.62
     induct
    -0.61
     mill
    -0.61
    toe
    -0.61
    bda
    -0.60
    POSITIVE LOGITS
     Privacy
    0.97
    Secure
    0.87
     Telegram
    0.80
     Pinterest
    0.80
     Security
    0.77
     Hots
    0.73
    Activity
    0.71
     Email
    0.71
    Talk
    0.71
     Messenger
    0.71
    Activations Density 0.019%

    No Known Activations