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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. 18606
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of formal or structured expression

    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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    No Comments

    Negative Logits
     ability
    -0.85
     sustained
    -0.84
     clin
    -0.82
     barr
    -0.80
     duty
    -0.79
     capacity
    -0.79
     displacement
    -0.78
     cens
    -0.77
     differential
    -0.77
     capability
    -0.77
    POSITIVE LOGITS
    Anyway
    1.93
    Advertisement
    1.92
    Luckily
    1.64
    advertisement
    1.61
    But
    1.58
    RELATED
    1.56
    Thankfully
    1.54
    Fortunately
    1.52
    So
    1.49
    Which
    1.49
    Activations Density 0.425%

    No Known Activations