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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. 3220
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    Explanations

    numeric values or references to quantities, such as numbers or dollar amounts

    oai_token-act-pair · gpt-3.5-turbo

    instances of frustration or exasperation expressed in a dismissive tone

    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
    Not in Any Lists

    No Comments

    Negative Logits
     designated
    -0.81
     dubbed
    -0.79
     planned
    -0.77
     boxed
    -0.77
     coordinated
    -0.76
     hailed
    -0.76
     elevated
    -0.75
     outgoing
    -0.74
     suspected
    -0.74
     mounted
    -0.74
    POSITIVE LOGITS
    Anyway
    1.88
    Lastly
    1.64
    CONCLUS
    1.58
    Conclusion
    1.56
    RAW
    1.51
    Advertisements
    1.50
    Alright
    1.49
    Finally
    1.43
    Reply
    1.39
    Okay
    1.38
    Activations Density 0.369%

    No Known Activations