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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. 933
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    Explanations

    mentions of live events

    oai_token-act-pair · gpt-3.5-turbo

    references to live events or performances

    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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    No Comments

    Negative Logits
    uyomi
    -0.86
    igham
    -0.84
    cientious
    -0.78
    une
    -0.75
    ittee
    -0.74
    unity
    -0.74
    essee
    -0.74
    EStreamFrame
    -0.74
    adr
    -0.74
    EStream
    -0.72
    POSITIVE LOGITS
     LIVE
    1.07
    Live
    0.96
    lihood
    0.95
     Live
    0.94
    live
    0.91
     live
    0.86
    blog
    0.79
     Countdown
    0.74
     feeds
    0.74
     Living
    0.70
    Activations Density 0.018%

    No Known Activations