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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. 10290
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    Explanations

    phrases indicating conclusions or final thoughts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate conclusions or summarizations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    activated
    -0.83
    cler
    -0.73
    otin
    -0.72
    pes
    -0.72
    drivers
    -0.70
    enta
    -0.69
    href
    -0.67
    opic
    -0.65
     nurs
    -0.64
    apt
    -0.64
    POSITIVE LOGITS
     conclude
    1.05
     concluding
    1.02
     concludes
    0.96
     conclusion
    0.92
     Conclusion
    0.81
    reement
    0.77
     concluded
    0.77
     FANTASY
    0.76
    iary
    0.75
     conclusions
    0.74
    Activations Density 0.008%

    No Known Activations