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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. 1-RES-JB
    11. 11607
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    oai_token-act-pair · gpt-3.5-turbo

    references to mail and mailing processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Fas
    -0.69
     Durham
    -0.68
    OV
    -0.66
    stall
    -0.65
     Parliament
    -0.65
     Founders
    -0.63
     Vers
    -0.63
    ital
    -0.62
     Kid
    -0.61
     Bas
    -0.61
    POSITIVE LOGITS
     mail
    1.38
    boxes
    1.35
    bag
    1.09
     mailbox
    1.08
    bags
    0.95
    mail
    0.94
    Mail
    0.91
     boxes
    0.83
    email
    0.83
     inbox
    0.82
    Activations Density 0.007%

    No Known Activations