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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. 7-RES-JB
    11. 16719
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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" interactions or data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    udeb
    -0.95
    erella
    -0.82
    galitarian
    -0.80
    iverpool
    -0.78
    erb
    -0.75
    urat
    -0.74
    lain
    -0.73
    abase
    -0.72
    emort
    -0.72
    artisan
    -0.72
    POSITIVE LOGITS
     monitoring
    0.87
     PCR
    0.87
    frames
    0.80
     analytics
    0.77
    aneously
    0.75
     snapshots
    0.75
     synchronization
    0.72
     updates
    0.70
    frame
    0.70
     policing
    0.69
    Activations Density 0.032%

    No Known Activations