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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. 20765
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    Explanations

    dates in the format of month/day/year with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    dates and timestamps

    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
    advertisement
    -0.76
    owler
    -0.71
     unpredictable
    -0.65
    acebook
    -0.63
    avorite
    -0.63
     unpredict
    -0.63
    bledon
    -0.62
    uters
    -0.62
    matically
    -0.62
    izoph
    -0.61
    POSITIVE LOGITS
     RELEASE
    1.02
     GMT
    0.93
     Became
    0.87
     partName
    0.86
     Updated
    0.82
     Apply
    0.77
     08
    0.76
     07
    0.74
     EDIT
    0.72
     UTC
    0.72
    Activations Density 0.072%

    No Known Activations