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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. 2-RES-JB
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    Explanations

    phrases related to the act of officiating events or ceremonies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to officiating and officiants in the context of ceremonies and legal proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.78
     Flavoring
    -0.76
    patient
    -0.70
     Sense
    -0.70
    DonaldTrump
    -0.67
     Stoke
    -0.65
     Hebdo
    -0.65
    Sense
    -0.64
    hate
    -0.63
    hunt
    -0.63
    POSITIVE LOGITS
     offic
    1.30
    iating
    0.94
    iated
    0.89
    iff
    0.83
    iffs
    0.83
     presided
    0.80
    icial
    0.79
    inic
    0.78
    inar
    0.77
     restruct
    0.74
    Activations Density 0.015%

    No Known Activations