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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. 9-RES-JB
    11. 15878
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    Explanations

    phrases related to real-time data and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to "real-time" or immediate timing concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    udeb
    -0.82
    erella
    -0.82
    kind
    -0.77
    iverpool
    -0.77
    usky
    -0.75
    redit
    -0.74
    urat
    -0.74
    mand
    -0.73
    erb
    -0.71
    amara
    -0.71
    POSITIVE LOGITS
     monitoring
    1.05
     analytics
    0.94
     synchronization
    0.90
     updating
    0.86
     updates
    0.85
     Monitoring
    0.84
     heartbeat
    0.82
     Streaming
    0.81
     PCR
    0.81
     monitor
    0.79
    Activations Density 0.064%

    No Known Activations